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"README.md": {
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"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
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"translation_date": "2026-02-06T08:15:57+00:00",
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"lessons/2-Symbolic/MSConceptGraph.ipynb": {
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"language_code": "el"
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"lessons/2-Symbolic/README.md": {
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"original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4",
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[](https://discord.gg/nTYy5BXMWG)
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# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Πρόγραμμα Σπουδών
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# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Αναλυτικό Πρόγραμμα
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|:---:|
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| Τεχνητή Νοημοσύνη για Αρχάριους - _Σημειώσεις από [@girlie_mac](https://twitter.com/girlie_mac)_ |
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| AI Για Αρχάριους - _Σημείωση από [@girlie_mac](https://twitter.com/girlie_mac)_ |
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Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το πρόγραμμα σπουδών μας 12 εβδομάδων και 24 μαθημάτων! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα είναι φιλικό προς τους αρχάριους και καλύπτει εργαλεία όπως TensorFlow και PyTorch, καθώς και ηθική στην AI
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Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το 12-εβδομάδων, 24-μαθημάτων πρόγραμμα σπουδών μας! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα είναι κατάλληλο για αρχάριους και καλύπτει εργαλεία όπως το TensorFlow και το PyTorch, καθώς και θέματα ηθικής στην AI
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### 🌐 Υποστήριξη Πολύγλωσσων
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### 🌐 Υποστήριξη σε Πολλές Γλώσσες
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#### Υποστηρίζεται μέσω GitHub Action (Αυτόματη & Πάντα Ενημερωμένη)
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#### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένο & Πάντα Ενημερωμένο)
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
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[Αραβικά](../ar/README.md) | [Μπενγκάλι](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μιανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh-CN/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../zh-HK/README.md) | [Κινέζικα (Παραδοσιακά, Μακάο)](../zh-MO/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../zh-TW/README.md) | [Κροατικά](../hr/README.md) | [Τσεχικά](../cs/README.md) | [Δανέζικα](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κανάντα](../kn/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιάλαμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπάλια](../ne/README.md) | [Νιγηριανό Πίτζιν](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλίας)](../pt-BR/README.md) | [Πορτογαλικά (Πορτογαλίας)](../pt-PT/README.md) | [Πουντζάμπι (Gurmukhi)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκαλόγκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδέζικα](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
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[Αραβικά](../ar/README.md) | [Μπενγκάλι](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μυανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh-CN/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../zh-HK/README.md) | [Κινέζικα (Παραδοσιακά, Μακάο)](../zh-MO/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../zh-TW/README.md) | [Κροατικά](../hr/README.md) | [Τσέχικα](../cs/README.md) | [Δανέζικα](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κανάντα](../kn/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιαλάμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπάλ](../ne/README.md) | [Νιγηριανό Πίνγκιν](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλία)](../pt-BR/README.md) | [Πορτογαλικά (Πορτογαλία)](../pt-PT/README.md) | [Πουντζάμπι (Γκουρμούκι)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκάλογκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδικά](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md)
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> **Προτιμάτε να κάνετε τοπικό κλωνοποίηση;**
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> Αυτό το αποθετήριο περιλαμβάνει 50+ μεταφράσεις γλωσσών, αυξάνοντας σημαντικά το μέγεθος λήψης. Για να κλωνοποιήσετε χωρίς μεταφράσεις, χρησιμοποιήστε sparse checkout:
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> **Προτιμάτε να Κλωνοποιήσετε τοπικά;**
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>
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> Αυτό το αποθετήριο περιλαμβάνει περισσότερες από 50 μεταφράσεις γλωσσών που αυξάνουν σημαντικά το μέγεθος λήψης. Για κλωνοποίηση χωρίς τις μεταφράσεις, χρησιμοποιήστε sparse checkout:
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>
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> **Bash / macOS / Linux:**
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> ```bash
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> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
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> cd AI-For-Beginners
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> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
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> ```
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>
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> **CMD (Windows):**
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> ```cmd
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> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
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> cd AI-For-Beginners
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> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
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> ```
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>
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> Αυτό σας δίνει όλα όσα χρειάζεστε για να ολοκληρώσετε το μάθημα με πολύ γρηγορότερη λήψη.
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
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**Αν θέλετε να υποστηρίζονται επιπλέον γλώσσες μετάφρασης, είναι καταχωρημένες [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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**Εάν θέλετε επιπλέον υποστηριζόμενες γλώσσες μετάφρασης, είναι καταγεγραμμένες [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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## Ενταχθείτε στην Κοινότητα
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## Γίνετε Μέλος της Κοινότητας
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[](https://discord.gg/nTYy5BXMWG)
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## Τι θα μάθετε
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**[Διάγραμμα Σκέψης του Μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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**[Διάγραμμα Νου του Μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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Σε αυτό το πρόγραμμα σπουδών, θα μάθετε:
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Σε αυτό το πρόγραμμα σπουδών θα μάθετε:
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* Διάφορες προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παλιάς καλής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και συλλογισμό ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **Νευρωνικά Δίκτυα** και **Βαθιά Μάθηση**, που βρίσκονται στον πυρήνα της σύγχρονης AI. Θα απεικονίσουμε τις έννοιες πίσω από αυτά τα σημαντικά θέματα χρησιμοποιώντας κώδικα σε δύο από τα πιο δημοφιλή πλαίσια - [TensorFlow](http://Tensorflow.org) και [PyTorch](http://pytorch.org).
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* **Νευρωνικές Αρχιτεκτονικές** για εργασία με εικόνες και κείμενο. Θα καλύψουμε πρόσφατα μοντέλα αλλά μπορεί να είναι λίγο ελλιπείς στην πιο σύγχρονη κατάσταση της τέχνης.
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* Λιγότερο δημοφιλείς προσεγγίσεις στην AI, όπως οι **Γενετικοί Αλγόριθμοι** και τα **Συστήματα Πολλαπλών Πρακτόρων**.
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* Διάφορες προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της “καλής παλιάς” συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και συμπερασμούς ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **Νευρωνικά Δίκτυα** και **Βαθιά Μάθηση**, που είναι ο πυρήνας της σύγχρονης AI. Θα απεικονίσουμε τις έννοιες πίσω από αυτά τα σημαντικά θέματα με κώδικα σε δύο από τα πιο δημοφιλή frameworks - [TensorFlow](http://Tensorflow.org) και [PyTorch](http://pytorch.org).
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* **Νευρωνικές Αρχιτεκτονικές** για την επεξεργασία εικόνων και κειμένου. Θα καλύψουμε πρόσφατα μοντέλα αλλά μπορεί να είναι λίγο πίσω στην πρωτοποριακή τεχνολογία.
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* Λιγότερο δημοφιλείς προσεγγίσεις AI, όπως **Γενετικοί Αλγόριθμοι** και **Συστήματα Πολλών Πρακτόρων**.
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Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα σπουδών:
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Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα:
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> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
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> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή μας Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
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* Επιχειρηματικές περιπτώσεις χρήσης της **AI στις Επιχειρήσεις**. Σκεφτείτε να ακολουθήσετε το μαθησιακό μονοπάτι [Εισαγωγή στην AI για επιχειρηματικούς χρήστες](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) στο Microsoft Learn, ή το [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), που αναπτύχθηκε σε συνεργασία με το [INSEAD](https://www.insead.edu/).
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* **Κλασική Μηχανική Μάθηση**, που περιγράφεται καλά στο [Πρόγραμμα Σπουδών Μηχανικής Μάθησης για Αρχάριους](http://github.com/Microsoft/ML-for-Beginners).
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* Πρακτικές εφαρμογές AI που κατασκευάζονται χρησιμοποιώντας **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, προτείνουμε να ξεκινήσετε με τα μαθήματα Microsoft Learn για [οπτική](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [επεξεργασία φυσικής γλώσσας](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Γεννητική AI με Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλα.
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* Συγκεκριμένα **Πλαίσια Cloud για ML**, όπως το [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ή [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Σκεφτείτε να χρησιμοποιήσετε τα μαθησιακά μονοπάτια [Κατασκευή και λειτουργία λύσεων μηχανικής μάθησης με Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Κατασκευή και Λειτουργία Λύσεων Μηχανικής Μάθησης με Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
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* **Συνομιλητική AI** και **Chat Bots**. Υπάρχει ένα ξεχωριστό μαθησιακό μονοπάτι [Δημιουργία συνομιλητικών λύσεων AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), και μπορείτε επίσης να ανατρέξετε σε [αυτή την ανάρτηση στο ιστολόγιο](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες.
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* **Εκτεταμένα Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό, θα προτείναμε το [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) των Ian Goodfellow, Yoshua Bengio και Aaron Courville, που είναι επίσης διαθέσιμο online στο [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
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* Επιχειρηματικά παραδείγματα χρήσης της **AI στις Επιχειρήσεις**. Σκεφτείτε να ακολουθήσετε την πορεία μάθησης [Εισαγωγή στην AI για επιχειρηματικούς χρήστες](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) στη Microsoft Learn, ή τη [Σχολή Επιχειρήσεων για AI](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), που αναπτύχθηκε σε συνεργασία με το [INSEAD](https://www.insead.edu/).
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* **Κλασική Μηχανική Μάθηση**, η οποία περιγράφεται καλά στο [Μάθημα Μηχανικής Μάθησης για Αρχάριους](http://github.com/Microsoft/ML-for-Beginners).
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* Πρακτικές εφαρμογές AI που δημιουργούνται με χρήση **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό προτείνουμε να ξεκινήσετε με τις ενότητες Microsoft Learn για [όραση](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [επεξεργασία φυσικής γλώσσας](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Γενετική AI με Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλες.
|
||||
* Συγκεκριμένα **Cloud Frameworks** για ML, όπως το [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), το [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ή το [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Σκεφτείτε να χρησιμοποιήσετε τις πορείες μάθησης [Κατασκευή και λειτουργία λύσεων μηχανικής μάθησης με Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Κατασκευή και Λειτουργία Λύσεων Μηχανικής Μάθησης με Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Συνομιλητική AI** και **Chat Bots**. Υπάρχει ξεχωριστή πορεία μάθησης [Δημιουργία λύσεων συνομιλητικής AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), και μπορείτε επίσης να ανατρέξετε σε [αυτή την ανάρτηση ιστολογίου](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες.
|
||||
* **Βαθιά Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό προτείνουμε το [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) των Ian Goodfellow, Yoshua Bengio και Aaron Courville, που είναι επίσης διαθέσιμο online στο [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Για μια απλή εισαγωγή σε θέματα _AI στο Cloud_ μπορείτε να σκεφτείτε να ακολουθήσετε το μαθησιακό μονοπάτι [Ξεκινήστε με τεχνητή νοημοσύνη στο Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Για μια απλή εισαγωγή στα θέματα _AI στο Cloud_ μπορείτε να ακολουθήσετε την πορεία μάθησης [Ξεκινώντας με τεχνητή νοημοσύνη στο Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Περιεχόμενο
|
||||
# Περιεχόμενα
|
||||
|
||||
| | Σύνδεσμος Μαθήματος | PyTorch/Keras/TensorFlow | Εργαστήριο |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Ρύθμιση Μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμισε το Περιβάλλον Ανάπτυξής σου](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Εισαγωγή στην AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 0 | [Ρύθμιση Μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμιση Περιβάλλοντος Ανάπτυξης](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Εισαγωγή στην Τεχνητή Νοημοσύνη**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Εισαγωγή και Ιστορία της AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Συμβολική AI** |
|
||||
| 02 | [Αναπαράσταση Γνώσης και Συστήματα Εμπειρογνωμόνων](./lessons/2-Symbolic/README.md) | [Συστήματα Εμπειρογνωμόνων](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Γράφος Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [Αναπαράσταση Γνώσης και Εμπειρογνωμονικά Συστήματα](./lessons/2-Symbolic/README.md) | [Εμπειρογνωμονικά Συστήματα](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Γράφος Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Εισαγωγή στα Νευρωνικά Δίκτυα**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Περσέψτρον](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Πολυστρωματικό Περσέψτρον και Δημιουργία του δικού μας Πλαισίου](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Εισαγωγή σε Πλαίσια (PyTorch/TensorFlow) και Υπερεκπαιδεύση](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Υπολογιστική Όραση**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Εξερεύνηση της Υπολογιστικής Όρασης στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Εισαγωγή στην Υπολογιστική Όραση. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Σημειωματάριο](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Συνελικτικά Νευρωνικά Δίκτυα](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Αρχιτεκτονικές CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Προεκπαιδευμένα Δίκτυα και Μεταφορά Μάθησης](./lessons/4-ComputerVision/08-TransferLearning/README.md) και [Τεχνάσματα Εκπαίδευσης](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 03 | [Περσέπτoν](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Πολυεπίπεδο Περσέπτoν και Δημιουργία του δικού μας Πλαισίου](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Εισαγωγή στα Πλαίσια εργασίας (PyTorch/TensorFlow) και Υπερεκμάθηση](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Επιστήμη Υπολογιστικής Όρασης**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Εξερευνήστε την Επιστήμη Υπολογιστικής Όρασης στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Εισαγωγή στην Επιστήμη Υπολογιστικής Όρασης. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Σημειωματάριο](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Συγκεντρωτικά Νευρωνικά Δίκτυα](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Αρχιτεκτονικές CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Προεκπαιδευμένα Δίκτυα και Μεταφορική Μάθηση](./lessons/4-ComputerVision/08-TransferLearning/README.md) και [Κόλπα Εκπαίδευσης](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Αυτοκωδικοποιητές και VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Γεννητικά Αντιπαραθετικά Δίκτυα & Μεταφορά Καλλιτεχνικού Στυλ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 10 | [Γενετικά Ανταγωνιστικά Δίκτυα & Μεταφορά Καλλιτεχνικού Στυλ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Ανίχνευση Αντικειμένων](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Σημασιολογική Τμηματοποίηση. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Επεξεργασία Φυσικής Γλώσσας**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Εξερεύνηση της Επεξεργασίας Φυσικής Γλώσσας στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 12 | [Σημασιολογικός Διαχωρισμός. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Επεξεργασία Φυσικής Γλώσσας**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Εξερευνήστε την Επεξεργασία Φυσικής Γλώσσας στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Αναπαράσταση Κειμένου. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Σημασιολογικές Ενσωματώσεις Λέξεων. Word2Vec και GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Μοντελοποίηση Γλώσσας. Εκπαίδευση των δικών σας ενσωματώσεων](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Επαναληπτικά Νευρωνικά Δίκτυα](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Γεννητικά Επαναληπτικά Δίκτυα](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Εργαστήριο](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Αναγνώριση Ονομασμένων Οντοτήτων](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Μεγάλα Μοντέλα Γλώσσας, Προγραμματισμός Εντολών και Εργασίες Με Λίγα Παραδείγματα](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 14 | [Σημασιακές ενσωματώσεις λέξεων. Word2Vec και GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Μοντελοποίηση Γλώσσας. Εκπαίδευση δικών σας ενσωματώσεων](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Επαναλαμβανόμενα Νευρωνικά Δίκτυα](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Γενετικά Επαναλαμβανόμενα Δίκτυα](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Εργαστήριο](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Μετασχηματιστές. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Αναγνώριση Ονομαστικών Οντοτήτων](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Μεγάλα Μοντέλα Γλώσσας, Προγραμματισμός Εκφράσεων και Εργασίες με Λίγα Παραδείγματα](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Άλλες Τεχνικές Τεχνητής Νοημοσύνης** || |
|
||||
| 21 | [Γενετικοί Αλγόριθμοι](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Σημειωματάριο](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Βαθιά Ενισχυτική Μάθηση](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Εργαστήριο](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Συστήματα Πολύ-Πρακτόρων](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 22 | [Ενισχυτική Μάθηση Βαθιάς Μάθησης](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Εργαστήριο](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Πολυ-πρακτορικά Συστήματα](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Ηθική της Τεχνητής Νοημοσύνης** | | |
|
||||
| 24 | [Ηθική της Τεχνητής Νοημοσύνης και Υπεύθυνη ΤΝ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Αρχές Υπεύθυνης ΤΝ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 24 | [Ηθική Τεχνητής Νοημοσύνης και Υπεύθυνη ΤΝ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Αρχές Υπεύθυνης ΤΝ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Επιπλέον** | | |
|
||||
| 25 | [Πολυ-μορφικά Δίκτυα, CLIP και VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Σημειωματάριο](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Κάθε μάθημα περιλαμβάνει
|
||||
| 25 | [Πολυμορφικά Δίκτυα, CLIP και VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Σημειωματάριο](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Κάθε μάθημα περιέχει
|
||||
* Υλικό προανάγνωσης
|
||||
* Εκτελέσιμα Σημειωματάρια Jupyter, τα οποία συχνά είναι ειδικά για το πλαίσιο (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο σημειωματάριο περιέχει επίσης πάρα πολύ θεωρητικό υλικό, έτσι για να κατανοήσεις το θέμα πρέπει να περάσεις τουλάχιστον από μία έκδοση του σημειωματαρίου (είτε PyTorch είτε TensorFlow).
|
||||
* **Εργαστήρια** διαθέσιμα για μερικά θέματα, που σου δίνουν την ευκαιρία να δοκιμάσεις την εφαρμογή του υλικού που έχεις μάθει σε ένα συγκεκριμένο πρόβλημα.
|
||||
* Κάποιες ενότητες περιέχουν συνδέσμους προς [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ενότητες που καλύπτουν συναφή θέματα.
|
||||
* Εκτελέσιμα Jupyter Notebooks, που συχνά είναι ειδικά για το πλαίσιο εργασίας (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο notebook περιέχει επίσης πολλές θεωρητικές έννοιες, οπότε για να κατανοήσετε το θέμα πρέπει να δείτε τουλάχιστον μία έκδοση του notebook (είτε PyTorch είτε TensorFlow).
|
||||
* **Εργαστήρια** διαθέσιμα για ορισμένα θέματα, που σας δίνουν την ευκαιρία να δοκιμάσετε να εφαρμόσετε το υλικό που μάθατε σε ένα συγκεκριμένο πρόβλημα.
|
||||
* Ορισμένα τμήματα περιλαμβάνουν συνδέσμους σε [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ενότητες που καλύπτουν σχετικές θεματικές.
|
||||
|
||||
## Ξεκινώντας
|
||||
|
||||
### 🎯 Νέος στην Τεχνητή Νοημοσύνη; Ξεκίνα Εδώ!
|
||||
|
||||
Αν είσαι εντελώς νέος στην Τεχνητή Νοημοσύνη και θέλεις γρήγορα, πρακτικά παραδείγματα, δες τα [**Φιλικά για Αρχάριους Παραδείγματα**](./examples/README.md)! Αυτά περιλαμβάνουν:
|
||||
Αν είστε εντελώς νέος στην τεχνητή νοημοσύνη και θέλετε γρήγορα, πρακτικά παραδείγματα, ρίξτε μια ματιά στα [**Παραδείγματα για Αρχάριους**](./examples/README.md)! Περιλαμβάνουν:
|
||||
|
||||
- 🌟 **Γεια σου Κόσμε της ΤΝ** - Το πρώτο σου πρόγραμμα ΤΝ (αναγνώριση προτύπων)
|
||||
- 🧠 **Απλό Νευρωνικό Δίκτυο** - Δημιούργησε ένα νευρωνικό δίκτυο από το μηδέν
|
||||
|
||||
- 🖼️ **Ταξινομητής Εικόνων** - Ταξινομεί εικόνες με λεπτομερή σχόλια
|
||||
- 💬 **Συναίσθημα Κειμένου** - Αναλύει θετικό/αρνητικό κείμενο
|
||||
- 🌟 **Hello AI World** - Το πρώτο σας πρόγραμμα τεχνητής νοημοσύνης (αναγνώριση προτύπων)
|
||||
- 🧠 **Απλό Νευρωνικό Δίκτυο** - Δημιουργήστε ένα νευρωνικό δίκτυο από το μηδέν
|
||||
- 🖼️ **Ταξινομητής Εικόνων** - Ταξινομήστε εικόνες με αναλυτικά σχόλια
|
||||
- 💬 **Ανάλυση Συναισθήματος Κειμένου** - Αναλύστε θετικά/αρνητικά κείμενα
|
||||
|
||||
Αυτά τα παραδείγματα έχουν σχεδιαστεί για να σας βοηθήσουν να κατανοήσετε τις έννοιες της τεχνητής νοημοσύνης πριν εμβαθύνετε στο πλήρες πρόγραμμα σπουδών.
|
||||
|
||||
### 📚 Ρύθμιση Πλήρους Προγράμματος Σπουδών
|
||||
|
||||
- Έχουμε δημιουργήσει ένα [μάθημα ρύθμισης](./lessons/0-course-setup/setup.md) για να σας βοηθήσουμε με τη ρύθμιση του περιβάλλοντος ανάπτυξης. - Για εκπαιδευτικούς, έχουμε δημιουργήσει ένα [μάθημα ρύθμισης προγράμματος σπουδών](./lessons/0-course-setup/for-teachers.md) και για εσάς!
|
||||
- Πώς να [εκτελέσετε τον κώδικα σε VSCode ή Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Δημιουργήσαμε ένα [μάθημα ρύθμισης](./lessons/0-course-setup/setup.md) για να σας βοηθήσουμε να ρυθμίσετε το περιβάλλον ανάπτυξης. - Για Εκπαιδευτικούς, έχουμε επίσης δημιουργήσει ένα [μάθημα ρύθμισης προγράμματος σπουδών](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Πώς να [Εκτελέσετε τον κώδικα σε VSCode ή Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Ακολουθήστε αυτά τα βήματα:
|
||||
Ακολουθήστε αυτά τα βήματα:
|
||||
|
||||
Fork το Αποθετήριο: Κάντε κλικ στο κουμπί "Fork" στην επάνω δεξιά γωνία αυτής της σελίδας.
|
||||
Φτιάξτε Fork του Αποθετηρίου: Κάντε κλικ στο κουμπί "Fork" στην πάνω δεξιά γωνία αυτής της σελίδας.
|
||||
|
||||
Κλωνοποιήστε το Αποθετήριο: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Κλωνοποιήστε το Αποθετήριο: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Μην ξεχάσετε να προσθέσετε αστέρι (🌟) σε αυτό το αποθετήριο για να το βρίσκετε πιο εύκολα αργότερα.
|
||||
Μην ξεχάσετε να προσθέσετε ένα αστέρι (🌟) σε αυτό το αποθετήριο για να το βρείτε πιο εύκολα αργότερα.
|
||||
|
||||
## Γνωρίστε άλλους Μαθητές
|
||||
|
||||
Γίνετε μέλος στο [επίσημο Discord server τεχνητής νοημοσύνης](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) για να γνωρίσετε και να δικτυωθείτε με άλλους μαθητές που παρακολουθούν αυτό το μάθημα και να λάβετε υποστήριξη.
|
||||
Εγγραφείτε στον [επίσημο διακομιστή Discord για AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) για να γνωρίσετε και να δικτυωθείτε με άλλους μαθητές που παρακολουθούν αυτό το μάθημα και να λάβετε υποστήριξη.
|
||||
|
||||
Αν έχετε σχόλια για το προϊόν ή ερωτήσεις κατά την κατασκευή, επισκεφθείτε το [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Αν έχετε σχόλια για το προϊόν ή ερωτήσεις κατά την ανάπτυξη, επισκεφθείτε το [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Κουίζ
|
||||
|
||||
> **Μια σημείωση για τα κουίζ**: Όλα τα κουίζ βρίσκονται στον φάκελο Quiz-app στον φάκελο etc\quiz-app, ή [ηλεκτρονικά εδώ](https://ff-quizzes.netlify.app/) Είναι συνδεδεμένα μέσα από τα μαθήματα. Η εφαρμογή κουίζ μπορεί να τρέξει τοπικά ή να αναπτυχθεί στο Azure. Ακολουθήστε τις οδηγίες στον φάκελο `quiz-app`. Βρίσκονται σταδιακά σε τοπική μετάφραση.
|
||||
> **Μια σημείωση για τα κουίζ**: Όλα τα κουίζ βρίσκονται στο φάκελο Quiz-app στο etc\quiz-app, ή [Online Εδώ](https://ff-quizzes.netlify.app/) Είναι συνδεδεμένα από μέσα στα μαθήματα και η εφαρμογή κουίζ μπορεί να τρέξει τοπικά ή να αναπτυχθεί στο Azure· ακολουθήστε τις οδηγίες στο φάκελο `quiz-app`. Σταδιακά μεταφράζονται.
|
||||
|
||||
## Υποστήριξη
|
||||
## Ζητείται Βοήθεια
|
||||
|
||||
Έχετε προτάσεις ή βρήκατε ορθογραφικά ή σφάλματα κώδικα; Δημιουργήστε ένα issue ή υποβάλετε ένα pull request.
|
||||
Έχετε προτάσεις ή βρήκατε ορθογραφικά ή σφάλματα στον κώδικα; Ανοίξτε ένα ζήτημα ή δημιουργήστε ένα pull request.
|
||||
|
||||
## Ειδικές Ευχαριστίες
|
||||
|
||||
* **✍️ Κύριος Συγγραφέας:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Επιμελήτρια:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Σκιτσογράφος:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Δημιουργός Κουίζ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Βασικοί Συνεισφέροντες:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ Κύριος Συγγραφέας:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Επιμελήτρια:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Εικονογράφος Σχεδίων:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Δημιουργός Κουίζ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Κύριοι Συνεισφέροντες:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Άλλα Προγράμματα Σπουδών
|
||||
|
||||
Η ομάδα μας παράγει και άλλα προγράμματα σπουδών! Ρίξτε μια ματιά:
|
||||
Η ομάδα μας παράγει και άλλα προγράμματα σπουδών! Δείτε:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Σειρά Γενετικής Τεχνητής Νοημοσύνης
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
### Generative AI Series
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Βασική Μάθηση
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
### Core Learning
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Σειρά Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Λήψη Βοήθειας
|
||||
|
||||
Αν κολλήσετε ή έχετε οποιεσδήποτε ερωτήσεις για την κατασκευή εφαρμογών τεχνητής νοημοσύνης, συμμετάσχετε με άλλους μαθητές και έμπειρους προγραμματιστές σε συζητήσεις για το MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα.
|
||||
Αν κολλήσετε ή έχετε οποιεσδήποτε ερωτήσεις για την ανάπτυξη εφαρμογών AI. Συμμετέχετε σε συζητήσεις με άλλους μαθητές και έμπειρους προγραμματιστές για το MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Αν έχετε σχόλια για το προϊόν ή σφάλματα κατά την κατασκευή, επισκεφθείτε:
|
||||
Αν έχετε σχόλια για το προϊόν ή σφάλματα κατά την ανάπτυξη επισκεφθείτε:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -221,5 +229,5 @@ Fork το Αποθετήριο: Κάντε κλικ στο κουμπί "Fork"
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Αποποίηση ευθυνών**:
|
||||
Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία αυτόματης μετάφρασης AI [Co-op Translator](https://github.com/Azure/co-op-translator). Παρόλο που κάνουμε το καλύτερο δυνατό για ακρίβεια, παρακαλούμε να γνωρίζετε ότι οι αυτόματες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, προτείνεται η επαγγελματική μετάφραση από ανθρώπους. Δεν φέρουμε ευθύνη για οποιεσδήποτε παρεξηγήσεις ή λανθασμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.
|
||||
Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία μετάφρασης τεχνητής νοημοσύνης [Co-op Translator](https://github.com/Azure/co-op-translator). Παρότι καταβάλλουμε προσπάθεια για ακρίβεια, παρακαλούμε να λάβετε υπόψη ότι οι αυτοματοποιημένες μεταφράσεις μπορεί να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα πρέπει να θεωρείται η κύρια και αξιόπιστη πηγή. Για κρίσιμες πληροφορίες συνιστάται επαγγελματική ανθρώπινη μετάφραση. Δεν φέρουμε ευθύνη για τυχόν παρεξηγήσεις ή λανθασμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -6,8 +6,8 @@
|
|||
"language_code": "pl"
|
||||
},
|
||||
"README.md": {
|
||||
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
|
||||
"translation_date": "2026-02-06T08:11:43+00:00",
|
||||
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
|
||||
"translation_date": "2026-02-28T10:19:50+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "pl"
|
||||
},
|
||||
|
|
@ -89,6 +89,12 @@
|
|||
"source_file": "lessons/1-Intro/assignment.md",
|
||||
"language_code": "pl"
|
||||
},
|
||||
"lessons/2-Symbolic/MSConceptGraph.ipynb": {
|
||||
"original_hash": "e5690bbc6e5119a96a8172ec7261db67",
|
||||
"translation_date": "2026-02-28T10:17:49+00:00",
|
||||
"source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb",
|
||||
"language_code": "pl"
|
||||
},
|
||||
"lessons/2-Symbolic/README.md": {
|
||||
"original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4",
|
||||
"translation_date": "2026-01-15T14:28:10+00:00",
|
||||
|
|
|
|||
|
|
@ -12,36 +12,46 @@
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Sztuczna inteligencja dla początkujących - Program nauczania
|
||||
# Sztuczna Inteligencja dla Początkujących - Program Nauczania
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| AI For Beginners - _Sketchnote autorstwa [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Odkryj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu programowi nauczania składającemu się z 24 lekcji! Zawiera praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i omawia narzędzia takie jak TensorFlow i PyTorch, a także etykę w AI.
|
||||
Odkryj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu programowi nauczania z 24 lekcjami! Obejmuje praktyczne lekcje, quizy oraz laboratoria. Program jest przyjazny dla początkujących i zawiera narzędzia takie jak TensorFlow i PyTorch oraz zagadnienia etyki w AI.
|
||||
|
||||
|
||||
### 🌐 Wsparcie wielojęzyczne
|
||||
### 🌐 Wsparcie Wielojęzyczne
|
||||
|
||||
#### Obsługiwane za pomocą GitHub Action (Automatyczne i zawsze aktualne)
|
||||
#### Wsparcie poprzez GitHub Action (Automatyczne i Zawsze Aktualne)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](./README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
[Arabski](../ar/README.md) | [Bengalski](../bn/README.md) | [Bułgarski](../bg/README.md) | [Birmański (Myanmar)](../my/README.md) | [Chiński (uproszczony)](../zh-CN/README.md) | [Chiński (tradycyjny, Hongkong)](../zh-HK/README.md) | [Chiński (tradycyjny, Makau)](../zh-MO/README.md) | [Chiński (tradycyjny, Tajwan)](../zh-TW/README.md) | [Chorwacki](../hr/README.md) | [Czeski](../cs/README.md) | [Duński](../da/README.md) | [Niderlandzki](../nl/README.md) | [Estoński](../et/README.md) | [Fiński](../fi/README.md) | [Francuski](../fr/README.md) | [Niemiecki](../de/README.md) | [Grecki](../el/README.md) | [Hebrajski](../he/README.md) | [Hindi](../hi/README.md) | [Węgierski](../hu/README.md) | [Indonezyjski](../id/README.md) | [Włoski](../it/README.md) | [Japoński](../ja/README.md) | [Kannada](../kn/README.md) | [Koreański](../ko/README.md) | [Litewski](../lt/README.md) | [Malajski](../ms/README.md) | [Malajalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalski](../ne/README.md) | [Nigerski pidżin](../pcm/README.md) | [Norweski](../no/README.md) | [Perski (Farsi)](../fa/README.md) | [Polski](./README.md) | [Portugalski (Brazylia)](../pt-BR/README.md) | [Portugalski (Portugalia)](../pt-PT/README.md) | [Pendżabski (Gurmukhi)](../pa/README.md) | [Rumuński](../ro/README.md) | [Rosyjski](../ru/README.md) | [Serbski (cyrylica)](../sr/README.md) | [Słowacki](../sk/README.md) | [Słoweński](../sl/README.md) | [Hiszpański](../es/README.md) | [Suahili](../sw/README.md) | [Szwedzki](../sv/README.md) | [Tagalog (Filipiński)](../tl/README.md) | [Tamilski](../ta/README.md) | [Telugu](../te/README.md) | [Tajski](../th/README.md) | [Turecki](../tr/README.md) | [Ukraiński](../uk/README.md) | [Urdu](../ur/README.md) | [Wietnamski](../vi/README.md)
|
||||
|
||||
> **Wolisz sklonować lokalnie?**
|
||||
|
||||
>
|
||||
> To repozytorium zawiera ponad 50 tłumaczeń językowych, co znacznie zwiększa rozmiar pobierania. Aby sklonować bez tłumaczeń, użyj sparse checkout:
|
||||
>
|
||||
> **Bash / macOS / Linux:**
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Dzięki temu otrzymasz wszystko, czego potrzebujesz do ukończenia kursu z dużo szybszym pobieraniem.
|
||||
>
|
||||
> **CMD (Windows):**
|
||||
> ```cmd
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
|
||||
> ```
|
||||
>
|
||||
> To daje Ci wszystko, co potrzebne do ukończenia kursu, z dużo szybszym pobieraniem.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Jeśli chcesz, aby obsługiwane były dodatkowe języki tłumaczeń, znajdują się one [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Jeśli chcesz, aby dodano wsparcie dla dodatkowych języków, są one wymienione [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Dołącz do społeczności
|
||||
## Dołącz do Społeczności
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Czego się nauczysz
|
||||
|
|
@ -50,69 +60,68 @@ Odkryj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu pr
|
|||
|
||||
W tym programie nauczania nauczysz się:
|
||||
|
||||
* Różnych podejść do Sztucznej Inteligencji, w tym "dawnego dobrego" podejścia symbolicznego z **Reprezentacją Wiedzy** i rozumowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Sieci neuronowych** i **Głębokiego uczenia**, które są sednem nowoczesnej AI. Pokażemy koncepcje stojące za tymi ważnymi tematami, używając kodu w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Architektury neuronowe** do pracy z obrazami i tekstem. Omówimy najnowsze modele, choć mogą być nieco odbiegające od stanu wiedzy najbardziej zaawansowanej.
|
||||
* Mniej popularne podejścia do AI, takie jak **Algorytmy genetyczne** i **Systemy wieloagentowe**.
|
||||
* Różnych podejść do Sztucznej Inteligencji, w tym „dawnego dobrego” podejścia symbolicznego z **Reprezentacją Wiedzy** i wnioskowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Sieci Neuronowych** oraz **Głębokiego Uczenia**, które stanowią rdzeń nowoczesnej AI. Pokażemy koncepcje stojące za tymi ważnymi tematami za pomocą kodu w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
|
||||
* **Architektury Neuronowe** do pracy z obrazami i tekstem. Omówimy najnowsze modele, choć mogą one nie być całkowicie najnowocześniejsze.
|
||||
* Mniej popularne podejścia do AI, takie jak **Algorytmy Genetyczne** i **Systemy Wieloagentowe**.
|
||||
|
||||
Czego nie będziemy omawiać w tym programie nauczania:
|
||||
Czego nie omówimy w tym programie nauczania:
|
||||
|
||||
> [Znajdź wszystkie dodatkowe zasoby do tego kursu w naszej kolekcji Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Znajdź wszystkie dodatkowe materiały do tego kursu w naszej kolekcji Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Przypadków biznesowych użycia **AI w biznesie**. Rozważ skorzystanie ze ścieżki nauczania [Wprowadzenie do AI dla użytkowników biznesowych](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn lub [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), opracowanej we współpracy z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasycznego uczenia maszynowego**, które jest dobrze opisane w naszym [Programie nauczania Uczenie maszynowe dla początkujących](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktycznych zastosowań AI zbudowanych przy pomocy **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. W tym celu polecamy rozpoczęcie od modułów Microsoft Learn dotyczących [wizji komputerowej](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [przetwarzania języka naturalnego](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatywnej AI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i innych.
|
||||
* Specyficznych **Chmurowych Frameworków ML**, takich jak [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) lub [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ skorzystanie ze ścieżek nauczania [Buduj i obsługuj rozwiązania uczenia maszynowego z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) oraz [Buduj i obsługuj rozwiązania uczenia maszynowego z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Rozmownych AI** i **Chat Botów**. Istnieje oddzielna ścieżka nauczania [Tworzenie rozwiązań conversational AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz zapoznać się z [tym wpisem na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) dla bardziej szczegółowych informacji.
|
||||
* **Głębokiej matematyki** stojącej za głębokim uczeniem. W tym celu polecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Iana Goodfellowa, Yoshua Bengio i Aarona Courville, która jest również dostępna online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Przypadków biznesowych zastosowania **AI w Biznesie**. Rozważ ukończenie ścieżki nauczania [Wprowadzenie do AI dla użytkowników biznesowych](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn lub [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), opracowanej we współpracy z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasycznego Uczenia Maszynowego**, które dobrze opisano w naszym [Programie Nauczania Uczenia Maszynowego dla Początkujących](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktycznych zastosowań AI zbudowanych za pomocą **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Zalecamy trwały start z modułami Microsoft Learn dla [wizji komputerowej](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [przetwarzania języka naturalnego](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generative AI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i innych.
|
||||
* Specyficznych **Chmurowych Frameworków ML**, takich jak [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) czy [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ użycie ścieżek nauczania [Buduj i obsługuj rozwiązania uczenia maszynowego z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) oraz [Buduj i obsługuj rozwiązania uczenia maszynowego z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Konwersacyjnego AI** i **Chatbotów**. Istnieje osobna ścieżka nauczania [Tworzenie rozwiązań AI konwersacyjnej](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz odwołać się do [tego wpisu na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) dla bardziej szczegółowych informacji.
|
||||
* **Głębokiej matematyki** stojącej za głębokim uczeniem. Zalecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Ian Goodfellow, Yoshua Bengio i Aaron Courville, dostępną także online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Dla łagodnego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć [Rozpoczęcie pracy ze sztuczną inteligencją na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) ścieżkę nauczania.
|
||||
Dla łagodnego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć ścieżkę nauczania [Rozpocznij przygodę ze sztuczną inteligencją na platformie Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Zawartość
|
||||
|
||||
| | Link do lekcji | PyTorch/Keras/TensorFlow | Laboratorium |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Ustawienia kursu](./lessons/0-course-setup/setup.md) | [Konfiguracja środowiska programistycznego](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| | Link do lekcji | PyTorch/Keras/TensorFlow | Laboratorium |
|
||||
| :-: | :--------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------------ |
|
||||
| 0 | [Konfiguracja kursu](./lessons/0-course-setup/setup.md) | [Skonfiguruj swoje środowisko deweloperskie](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Wprowadzenie do AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Wprowadzenie i historia AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Symboliczna AI** |
|
||||
| 02 | [Reprezentacja wiedzy i systemy ekspertowe](./lessons/2-Symbolic/README.md) | [Systemy ekspertowe](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf koncepcji](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Wprowadzenie do sieci neuronowych**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 02 | [Reprezentacja Wiedzy i Systemy Ekspertowe](./lessons/2-Symbolic/README.md) | [Systemy Ekspertowe](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf Pojęć](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Wprowadzenie do Sieci Neuronowych**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notatnik](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Wielowarstwowy perceptron i tworzenie własnego frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatnik](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Wprowadzenie do frameworków (PyTorch/TensorFlow) i overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Wizja komputerowa**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Poznaj wizję komputerową na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 04 | [Wielowarstwowy Perceptron i Tworzenie Własnego Frameworku](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notatnik](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Wprowadzenie do Frameworków (PyTorch/TensorFlow) i Nadmierne Dopasowanie](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Wizja komputerowa**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Odkryj wizję komputerową na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Wprowadzenie do wizji komputerowej. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notatnik](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorium](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Splotowe sieci neuronowe](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Architektury CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Sieci wytrenowane wstępnie i transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [tricki szkoleniowe](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkodery i VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatywne sieci przeciwstawne i transfer stylu artystycznego](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekcja obiektów](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorium](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 08 | [Sieci wstępnie wytrenowane i uczenie transferowe](./lessons/4-ComputerVision/08-TransferLearning/README.md) oraz [Triki treningowe](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Autoenkodery i VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generatywne sieci przeciwstawne i przenoszenie stylu artystycznego](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Wykrywanie obiektów](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorium](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Segmentacja semantyczna. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Przetwarzanie języka naturalnego**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Poznaj przetwarzanie języka naturalnego na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| V | [**Przetwarzanie języka naturalnego**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Odkryj przetwarzanie języka naturalnego na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Reprezentacja tekstu. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Semantyczne osadzenia słów. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modelowanie języka. Trenowanie własnych osadzeń](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratorium](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurencyjne sieci neuronowe](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Generatywne sieci rekurencyjne](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratorium](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformatory. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Rozpoznawanie nazwanych bytów](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorium](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Duże modele językowe, programowanie promptami i zadania few-shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Inne techniki AI** || |
|
||||
| 18 | [Transformery. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Rozpoznawanie nazwanych jednostek](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorium](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Duże modele językowe, programowanie promptów i zadania Few-Shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Inne techniki sztucznej inteligencji** || |
|
||||
| 21 | [Algorytmy genetyczne](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatnik](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Głębokie uczenie ze wzmocnieniem](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratorium](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Systemy wieloagentowe](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etyka AI** | | |
|
||||
| VII | **Etyka sztucznej inteligencji** | | |
|
||||
| 24 | [Etyka AI i odpowiedzialna AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zasady odpowiedzialnej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Dodatki** | | |
|
||||
| 25 | [Sieci multimodalne, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatnik](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Każda lekcja zawiera
|
||||
|
||||
* Materiały do przeczytania przed zajęciami
|
||||
* Wykonalne notatniki Jupyter, które często są specyficzne dla frameworku (**PyTorch** lub **TensorFlow**). Notatnik zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat, trzeba przejść przynajmniej jedną wersję notatnika (PyTorch lub TensorFlow).
|
||||
* **Laboratoria** dostępne dla niektórych tematów, dające możliwość wypróbowania zastosowania przyswojonego materiału do konkretnego problemu.
|
||||
* Niektóre sekcje zawierają linki do modułów [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), które omawiają tematy pokrewne.
|
||||
* Wykonywalne notatniki Jupyter, które często są specyficzne dla frameworka (**PyTorch** lub **TensorFlow**). Notatnik wykonywalny zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat, musisz przejść przez przynajmniej jedną wersję notatnika (albo PyTorch, albo TensorFlow).
|
||||
* **Laboratoria** dostępne dla niektórych tematów, które dają Ci możliwość wypróbowania zastosowania materiału, którego się nauczyłeś, na konkretnym problemie.
|
||||
* Niektóre sekcje zawierają linki do modułów [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), które obejmują pokrewne tematy.
|
||||
|
||||
## Rozpoczęcie
|
||||
|
||||
|
|
@ -121,52 +130,51 @@ Dla łagodnego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć [Rozpo
|
|||
Jeśli jesteś całkowicie nowy w AI i chcesz szybkie, praktyczne przykłady, sprawdź nasze [**Przyjazne dla początkujących przykłady**](./examples/README.md)! Obejmują one:
|
||||
|
||||
- 🌟 **Hello AI World** - Twój pierwszy program AI (rozpoznawanie wzorców)
|
||||
- 🧠 **Prosta sieć neuronowa** - Zbuduj sieć neuronową od zera
|
||||
- 🧠 **Prosta sieć neuronowa** - Zbuduj sieć neuronową od podstaw
|
||||
- 🖼️ **Klasyfikator obrazów** - Klasyfikuj obrazy z szczegółowymi komentarzami
|
||||
- 💬 **Analiza sentymentu tekstu** - Analiza tekstu pozytywnego/negatywnego
|
||||
|
||||
- 🖼️ **Klasyfikator obrazów** - Klasyfikuj obrazy z szczegółowymi komentarzami
|
||||
- 💬 **Analiza sentymentu tekstu** - Analizuj tekst pod kątem pozytywnych/negatywnych emocji
|
||||
Te przykłady zostały zaprojektowane, aby pomóc Ci zrozumieć koncepcje AI przed zagłębieniem się w pełny program nauczania.
|
||||
|
||||
Te przykłady mają pomóc Ci zrozumieć koncepcje sztucznej inteligencji zanim zagłębisz się w pełny program nauczania.
|
||||
### 📚 Pełne ustawienie kursu
|
||||
|
||||
### 📚 Pełna konfiguracja programu nauczania
|
||||
- Stworzyliśmy [lekcję instalacyjną](./lessons/0-course-setup/setup.md), aby pomóc Ci w konfiguracji środowiska programistycznego.
|
||||
- Dla edukatorów przygotowaliśmy również [lekcję konfiguracji programu nauczania](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Jak [uruchomić kod w VSCode lub Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
- Stworzyliśmy [lekcję wprowadzającą](./lessons/0-course-setup/setup.md), która pomoże Ci skonfigurować środowisko programistyczne.
|
||||
- Dla nauczycieli przygotowaliśmy również [lekcję konfiguracji programu nauczania](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Jak [uruchomić kod w VSCode lub Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
Wykonaj następujące kroki:
|
||||
|
||||
Postępuj według tych kroków:
|
||||
|
||||
Sforkuj repozytorium: Kliknij przycisk "Fork" w prawym górnym rogu strony.
|
||||
Sforkuj repozytorium: Kliknij przycisk „Fork” w prawym górnym rogu tej strony.
|
||||
|
||||
Sklonuj repozytorium: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Nie zapomnij dać gwiazdki (🌟) temu repozytorium, aby łatwiej je odnaleźć później.
|
||||
Nie zapomnij dodać gwiazdki (🌟) temu repozytorium, aby łatwiej je później znaleźć.
|
||||
|
||||
## Poznaj innych uczących się
|
||||
|
||||
Dołącz do naszego [oficjalnego serwera Discord AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby spotkać i nawiązać kontakty z innymi uczącymi się biorącymi udział w kursie oraz uzyskać wsparcie.
|
||||
Dołącz do naszego [oficjalnego serwera Discord AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby poznać i nawiązać kontakt z innymi uczestnikami kursu oraz uzyskać wsparcie.
|
||||
|
||||
Jeśli masz uwagi dotyczące produktu lub pytania podczas tworzenia aplikacji, odwiedź nasz [Forum deweloperów Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
Jeśli masz opinię na temat produktu lub pytania podczas tworzenia, odwiedź nasz [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizy
|
||||
|
||||
> **Informacja o quizach:** Wszystkie quizy znajdują się w folderze quiz-app w etc\quiz-app, lub [online tutaj](https://ff-quizzes.netlify.app/). Są one powiązane z lekcjami, aplikację quizową można uruchomić lokalnie lub wdrożyć na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Quizy są stopniowo lokalizowane.
|
||||
> **Uwagi dotyczące quizów**: Wszystkie quizy znajdują się w folderze Quiz-app w etc\quiz-app lub [online tutaj](https://ff-quizzes.netlify.app/). Są one powiązane z lekcjami, aplikacja quizowa może być uruchamiana lokalnie lub wdrażana na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Quizy są stopniowo lokalizowane.
|
||||
|
||||
## Szukamy pomocy
|
||||
## Potrzebna pomoc
|
||||
|
||||
Masz sugestie lub znalazłeś błędy ortograficzne albo w kodzie? Zgłoś problem lub utwórz pull request.
|
||||
Masz sugestie lub znalazłeś błędy ortograficzne albo w kodzie? Załóż issue lub stwórz pull request.
|
||||
|
||||
## Specjalne podziękowania
|
||||
|
||||
* **✍️ Główny autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Redaktor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator sketchnotek:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Twórca quizów:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Główni współtwórcy:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ Główny autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Redaktor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator sketchnotek:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Twórca quizów:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Główni współtwórcy:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Inne programy nauczania
|
||||
|
||||
Nasz zespół tworzy również inne programy nauczania! Sprawdź:
|
||||
Nasz zespół tworzy inne programy nauczania! Sprawdź:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
|
|
@ -182,45 +190,45 @@ Nasz zespół tworzy również inne programy nauczania! Sprawdź:
|
|||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Seria Generatywnej AI
|
||||
|
||||
### Seria AI Generatywnego
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Podstawowe programy nauczania
|
||||
|
||||
### Podstawowe nauczanie
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
||||
### Seria Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Uzyskaj pomoc
|
||||
|
||||
Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI, dołącz do innych uczących się oraz doświadczonych programistów w dyskusjach o MCP. To wspierająca społeczność, w której pytania są mile widziane, a wiedza jest dzielona swobodnie.
|
||||
Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI. Dołącz do innych uczących się i doświadczonych programistów w dyskusjach o MCP. To wspierająca społeczność, gdzie pytania są mile widziane, a wiedza jest swobodnie dzielona.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Jeśli masz uwagi dotyczące produktu lub błędy podczas tworzenia odwiedź:
|
||||
Jeśli masz uwagi dotyczące produktu lub napotkasz błędy podczas tworzenia, odwiedź:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Zastrzeżenie**:
|
||||
Niniejszy dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mimo że dokładamy starań, aby tłumaczenie było poprawne, prosimy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym należy uważać za wiarygodne źródło. W przypadku informacji krytycznych zalecane jest skorzystanie z profesjonalnego tłumaczenia wykonanego przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z korzystania z tego tłumaczenia.
|
||||
**Zastrzeżenie**:
|
||||
Dokument ten został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mimo że dążymy do dokładności, prosimy mieć na uwadze, że tłumaczenia automatyczne mogą zawierać błędy lub nieścisłości. Oryginalny dokument w jego rodzimym języku powinien być uznawany za źródło wiarygodne. W przypadku informacji krytycznych zaleca się skorzystanie z profesjonalnego tłumaczenia wykonanego przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z korzystania z tego tłumaczenia.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -6,8 +6,8 @@
|
|||
"language_code": "tr"
|
||||
},
|
||||
"README.md": {
|
||||
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
|
||||
"translation_date": "2026-02-06T08:13:46+00:00",
|
||||
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
|
||||
"translation_date": "2026-02-28T10:21:21+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "tr"
|
||||
},
|
||||
|
|
@ -89,6 +89,12 @@
|
|||
"source_file": "lessons/1-Intro/assignment.md",
|
||||
"language_code": "tr"
|
||||
},
|
||||
"lessons/2-Symbolic/MSConceptGraph.ipynb": {
|
||||
"original_hash": "e5690bbc6e5119a96a8172ec7261db67",
|
||||
"translation_date": "2026-02-28T10:18:02+00:00",
|
||||
"source_file": "lessons/2-Symbolic/MSConceptGraph.ipynb",
|
||||
"language_code": "tr"
|
||||
},
|
||||
"lessons/2-Symbolic/README.md": {
|
||||
"original_hash": "f9f06b266b8b2bfc6b8792ff2bb1bea4",
|
||||
"translation_date": "2026-01-15T14:33:42+00:00",
|
||||
|
|
|
|||
|
|
@ -16,155 +16,164 @@
|
|||
|
||||
||
|
||||
|:---:|
|
||||
| Yapay Zeka Başlangıç - _[@girlie_mac](https://twitter.com/girlie_mac)_ tarafından Sketchnote |
|
||||
| Yeni Başlayanlar için Yapay Zeka - _[@girlie_mac](https://twitter.com/girlie_mac) tarafından çizilmiş Sketchnote_ |
|
||||
|
||||
12 haftalık, 24 derslik müfredatımız ile **Yapay Zeka** (YZ) dünyasını keşfedin! Pratik dersler, quizler ve laboratuvarlar içerir. Müfredat yeni başlayanlar için uygundur ve TensorFlow ile PyTorch gibi araçlar ile YZ etiği konularını kapsar.
|
||||
12 haftalık, 24 derslik müfredatımızla **Yapay Zeka** (AI) dünyasını keşfedin! Bu müfredat, pratik dersler, sınavlar ve laboratuvarlar içerir. Müfredat, yeni başlayanlar için uygundur ve TensorFlow ve PyTorch gibi araçların yanı sıra AI'da etik konularını kapsamaktadır.
|
||||
|
||||
### 🌐 Çok Dilde Destek
|
||||
### 🌐 Çok Dilli Destek
|
||||
|
||||
#### GitHub Action ile Desteklenmektedir (Otomatik & Her Zaman Güncel)
|
||||
#### GitHub Action ile Desteklenmektedir (Otomatik ve Her Zaman Güncel)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](./README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
|
||||
> **Yerel olarak Kopyalamayı mı Tercih Ediyorsunuz?**
|
||||
|
||||
> Bu depo 50+ dil çevirisini içerir ve bu da indirme boyutunu önemli ölçüde artırır. Çevirisiz kopyalamak için seyrek checkout kullanın:
|
||||
> **Yerel Olarak Klonlamayı mı Tercih Ediyorsunuz?**
|
||||
>
|
||||
> Bu depo 50'den fazla dilde tercümeler içerir ve bu da indirme boyutunu önemli ölçüde artırır. Tercümeler olmadan klonlamak için sparse checkout kullanın:
|
||||
>
|
||||
> **Bash / macOS / Linux:**
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Bu, kursu tamamlamak için ihtiyacınız olan her şeyi çok daha hızlı indirmenizi sağlar.
|
||||
>
|
||||
> **CMD (Windows):**
|
||||
> ```cmd
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
|
||||
> cd AI-For-Beginners
|
||||
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
|
||||
> ```
|
||||
>
|
||||
> Bu, kursu tamamlamak için ihtiyacınız olan her şeyi çok daha hızlı bir indirme ile size sağlar.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Ek dil çevirilerinin desteklenmesini istiyorsanız [buradaki](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listede belirtilmiştir**
|
||||
**Desteklenmesini istediğiniz ek diller varsa bunlar [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir**
|
||||
|
||||
## Topluluğa Katılın
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Öğrenecekleriniz
|
||||
## Ne Öğreneceksiniz
|
||||
|
||||
**[Kursun Zihin Haritası](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Bu müfredatta öğrenecekleriniz:
|
||||
Bu müfredatta şunları öğreneceksiniz:
|
||||
|
||||
* "İyi eski" sembolik yaklaşım ile **Bilgi Temsili** ve akıl yürütme dahil olmak üzere Yapay Zekaya farklı yaklaşımlar ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Modern YZ'nin kalbinde olan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuları, en popüler iki framework olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod kullanarak açıklayacağız.
|
||||
* Görüntü ve metinle çalışmak için **Sinir Mimarileri**. Güncel modelleri ele alacağız ancak en son teknoloji biraz eksik olabilir.
|
||||
* Daha az popüler YZ yaklaşımları, örneğin **Genetik Algoritmalar** ve **Çoklu Ajan Sistemleri**.
|
||||
* Yapay Zekaya farklı yaklaşımlar, "iyi eski" sembolik yaklaşım olan **Bilgi Temsili** ve akıl yürütme dahil ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Modern AI'nın merkezinde yer alan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuların arkasındaki kavramları, en popüler iki çerçevede - [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod örnekleriyle göstereceğiz.
|
||||
* Görüntü ve metinle çalışmak için **Sinir Ağı Mimarileri**. Güncel modelleri kapsayacağız ama en son gelişmelerde biraz eksik olabilir.
|
||||
* Daha az popüler yapay zeka yaklaşımları, örneğin **Genetik Algoritmalar** ve **Çoklu Ajan Sistemleri**.
|
||||
|
||||
Bu müfredatta ele alınmayacaklar:
|
||||
Bu müfredatta kapsamayacağımız konular:
|
||||
|
||||
> [Bu kurs için tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulun](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Bu kurstaki tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulabilirsiniz](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **İş Dünyasında YZ** kullanımına dair iş senaryoları. Microsoft Learn'deki [İş kullanıcıları için YZ'ye Giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu veya [YZ İş Okulu](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) programını inceleyebilirsiniz; bu program [INSEAD](https://www.insead.edu/) iş birliğiyle geliştirilmiştir.
|
||||
* Klasik **Makine Öğrenmesi**, [Makine Öğrenmesi Başlangıç Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) iyi anlatılmıştır.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ile inşa edilen pratik YZ uygulamaları. Bunun için Microsoft Learn'deki [görme](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Hizmeti ile Üretken YZ](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** gibi modüllerle başlamanızı öneririz.
|
||||
* Belirli ML **Bulut Çerçeveleri**, örneğin [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) veya [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Azure Machine Learning ile Makine Öğrenmesi Çözümleri Oluşturma ve İşletme](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ve [Azure Databricks ile Makine Öğrenmesi Çözümleri Oluşturma ve İşletme](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) öğrenme yollarını değerlendirin.
|
||||
* **Konuşma Tabanlı YZ** ve **Sohbet Botları**. Ayrı bir [Konuşma Tabanlı YZ Çözümleri Oluşturma](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolu var ve daha fazla detay için [bu blog gönderisine](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) bakabilirsiniz.
|
||||
* Derin öğrenmenin arkasındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville tarafından yazılmış olan ve ayrıca çevrimiçi erişilebilen [Derin Öğrenme](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* **İş dünyasında AI** kullanımı ile ilgili iş vaka incelemeleri. Bunun için Microsoft Learn üzerinde [İşletme kullanıcıları için AI'ya giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu veya [AI İş Okulu](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) programını kullanabilirsiniz; bu program [INSEAD](https://www.insead.edu/) ile işbirliğiyle geliştirilmiştir.
|
||||
* Klasik **Makine Öğrenimi**, bu konu bizim [Makine Öğrenimi Yeni Başlayanlar İçin Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) iyi anlatılmıştır.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** kullanılarak oluşturulmuş pratik AI uygulamaları. Bunun için Microsoft Learn'deki [görüntü](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Hizmeti ile Üretken AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ve diğer modüllerle başlamanızı öneririz.
|
||||
* Belirli ML **Bulut Çerçeveleri**, örneğin [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) veya [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Bunun için [Azure Machine Learning ile Makine Öğrenimi Çözümleri Oluşturma ve İşletme](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ve [Azure Databricks ile Makine Öğrenimi Çözümleri Oluşturma ve İşletme](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) öğrenme yollarını kullanabilirsiniz.
|
||||
* **Konuşma AI'sı** ve **Sohbet Botları**. Ayrı bir [Konuşma AI çözümleri oluşturma](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolu vardır, ayrıca detaylar için [bu blog yazısına](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) başvurabilirsiniz.
|
||||
* Derin öğrenmenin arkasındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville tarafından yazılan ve online olarak da erişilebilen [Derin Öğrenme](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
_Bulut'ta YZ'ye_ nazik bir giriş için [Azure üzerinde yapay zekayla başlama](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Öğrenme Yolunu değerlendirebilirsiniz.
|
||||
_Bulutta AI_ konularına nazik bir giriş için [Azure üzerinde yapay zekaya başlangıç](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu tercih edebilirsiniz.
|
||||
|
||||
# İçerik
|
||||
|
||||
| | Ders Bağlantısı | PyTorch/Keras/TensorFlow | Laboratuvar |
|
||||
| | Ders Bağlantısı | PyTorch/Keras/TensorFlow | Laboratuvar |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Kurs Kurulumu](./lessons/0-course-setup/setup.md) | [Geliştirme Ortamınızı Kurun](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**YZ'ye Giriş**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [YZ'nin Tarihi ve Girişi](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik YZ** |
|
||||
| I | [**Yapay Zekaya Giriş**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Yapay Zekaya Giriş ve Tarihçe](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik Yapay Zeka** |
|
||||
| 02 | [Bilgi Temsili ve Uzman Sistemler](./lessons/2-Symbolic/README.md) | [Uzman Sistemler](./lessons/2-Symbolic/Animals.ipynb) / [Ontoloji](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Kavram Grafiği](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Sinir Ağlarına Giriş**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Defter](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Çok Katmanlı Perceptron ve Kendi Çerçevemizi Oluşturma](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Defter](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Çerçevelere Giriş (PyTorch/TensorFlow) ve Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Bilgisayarla Görü**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure'da Bilgisayarla Görme Keşfi](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Bilgisayarla Görmeye Giriş. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Defter](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolüsyonel Sinir Ağları](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Mimarileri](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Önceden Eğitilmiş Ağlar ve Transfer Öğrenme](./lessons/4-ComputerVision/08-TransferLearning/README.md) ve [Eğitim Püf Noktaları](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Otoenkoderler ve VAE'ler](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Üretici Rekabetçi Ağlar ve Sanatsal Stil Transferi](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Nesne Algılama](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantik Segmentasyon. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Doğal Dil İşleme**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure'da Doğal Dil İşlemeyi Keşfet](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Defter](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratuvar](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Çok Katmanlı Perceptron ve Kendi Çerçevemizi Oluşturma](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Defter](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratuvar](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Çerçevelere Giriş (PyTorch/TensorFlow) ve Aşırı Öğrenme](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratuvar](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Bilgisayarlı Görü](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure üzerinde Bilgisayarlı Görü Keşfi](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Bilgisayarlı Görüye Giriş. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Defter](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolüsyonel Sinir Ağları](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Mimarileri](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Önceden Eğitilmiş Ağlar ve Transfer Öğrenme](./lessons/4-ComputerVision/08-TransferLearning/README.md) ve [Eğitim Püf Noktaları](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Otoenkoderler ve VAE’ler](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Üretici Çekişmeli Ağlar & Sanatsal Stil Transferi](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Nesne Algılama](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratuvar](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Anlamsal Segmentasyon. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | |
|
||||
| V | [**Doğal Dil İşleme**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure üzerinde Doğal Dil İşlemeyi Keşfet](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Metin Temsili. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | |
|
||||
| 14 | [Anlamsal kelime gömme. Word2Vec ve GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Dil Modelleme. Kendi gömmelerinizi eğitmek](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 15 | [Dil Modelleme. Kendi gömmelerinizi eğitme](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Laboratuvar](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Tekrarlayan Sinir Ağları](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | |
|
||||
| 17 | [Üretici Tekrarlayan Ağlar](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 17 | [Üretici Tekrarlayan Ağlar](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Laboratuvar](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformerlar. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 19 | [Adlandırılmış Varlık Tanıma](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Büyük Dil Modelleri, İpucu Programlama ve Az-Veri Görevleri](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Diğer AI Teknikleri** || |
|
||||
| 19 | [Adlandırılmış Varlık Tanıma](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratuvar](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Büyük Dil Modelleri, İstem Programlama ve Az Örnekli Görevler](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Diğer Yapay Zeka Teknikleri** || |
|
||||
| 21 | [Genetik Algoritmalar](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Defter](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Derin Takviyeli Öğrenme](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 22 | [Derin Takviyeli Öğrenme](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratuvar](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Çok Ajanlı Sistemler](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI Etiği** | | |
|
||||
| 24 | [AI Etiği ve Sorumlu AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Sorumlu AI İlkeleri](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Ekstralar** | | |
|
||||
| VII | **YZ Etiği** | | |
|
||||
| 24 | [YZ Etiği ve Sorumlu Yapay Zeka](./lessons/7-Ethics/README.md) | [Microsoft Learn: Sorumlu YZ İlkeleri](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Ekstra** | | |
|
||||
| 25 | [Çok Modlu Ağlar, CLIP ve VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Defter](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Her ders içerir
|
||||
|
||||
* Ön okuma materyali
|
||||
* Çoğunlukla belirli çerçeveye (**PyTorch** veya **TensorFlow**) özel çalıştırılabilir Jupyter Defterleri. Çalıştırılabilir defter ayrıca çok fazla teorik materyal içerir, bu yüzden konuyu anlamak için defterin en az bir sürümünü (PyTorch veya TensorFlow) incelemeniz gerekir.
|
||||
* Bazı konular için deneyim kazanmanızı sağlayan **Laboratuvarlar**, öğrendiğiniz materyali belirli bir probleme uygulama fırsatı sunar.
|
||||
* Bazı bölümlerde ilgili konuları kapsayan [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modüllerine bağlantılar bulunmaktadır.
|
||||
* Genellikle belirli bir çerçeveye özgü olan çalıştırılabilir Jupyter Notebooks (**PyTorch** veya **TensorFlow**). Çalıştırılabilir defter ayrıca çok fazla teorik materyal içerir, bu nedenle konuyu anlamak için en az bir sürümünü (PyTorch veya TensorFlow) incelemeniz gerekir.
|
||||
* Bazı konular için mevcut olan **Lab'lar**, öğrendiğiniz materyali belirli bir probleme uygulama fırsatı sunar.
|
||||
* Bazı bölümler, ilgili konuları kapsayan [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modüllerine bağlantılar içerir.
|
||||
|
||||
## Başlarken
|
||||
|
||||
### 🎯 AI'da yenisin? Buradan başla!
|
||||
### 🎯 AI'ya Yeni misiniz? Buradan Başlayın!
|
||||
|
||||
AI'da tamamen yenisen ve hızlı, uygulamalı örnekler arıyorsan, [**Yeni Başlayan Dostu Örneklerimiz**](./examples/README.md) tam sana göre! Bunlar şunları içerir:
|
||||
AI konusunda tamamen yeniyse ve hızlı, pratik örnekler görmek istiyorsanız, [**Yeni Başlayanlar İçin Örnekler**](./examples/README.md) sayfamıza göz atın! Bunlar şunları içerir:
|
||||
|
||||
- 🌟 **Merhaba AI Dünyası** - İlk AI programın (desen tanıma)
|
||||
- 🧠 **Basit Sinir Ağı** - Baştan bir sinir ağı inşa et
|
||||
- 🌟 **Merhaba AI Dünyası** - İlk AI programınız (desen tanıma)
|
||||
- 🧠 **Basit Sinir Ağı** - Baştan sona sinir ağı kurun
|
||||
- 🖼️ **Görüntü Sınıflandırıcı** - Görüntüleri ayrıntılı açıklamalarla sınıflandırın
|
||||
- 💬 **Metin Duygu Analizi** - Pozitif/negatif metni analiz edin
|
||||
|
||||
- 🖼️ **Resim Sınıflandırıcı** - Resimleri ayrıntılı yorumlarla sınıflandırın
|
||||
- 💬 **Metin Duygusu** - Pozitif/negatif metni analiz edin
|
||||
|
||||
Bu örnekler, tam müfredata geçmeden önce yapay zeka kavramlarını anlamanıza yardımcı olmak için tasarlanmıştır.
|
||||
Bu örnekler, tam müfredata dalmadan önce AI kavramlarını anlamanıza yardımcı olmak için tasarlandı.
|
||||
|
||||
### 📚 Tam Müfredat Kurulumu
|
||||
|
||||
- Geliştirme ortamınızı kurmanıza yardımcı olması için bir [kurulum dersi](./lessons/0-course-setup/setup.md) oluşturduk. - Eğitimciler için de bir [müfredat kurulumu dersi](./lessons/0-course-setup/for-teachers.md) hazırladık!
|
||||
- [VSCode veya Codespace'de kodun nasıl çalıştırılacağı](./lessons/0-course-setup/how-to-run.md)
|
||||
- Geliştirme ortamınızı kurmanıza yardımcı olmak için bir [kurulum dersi](./lessons/0-course-setup/setup.md) oluşturduk.
|
||||
- Eğitmenler için de bir [müfredat kurulum dersi](./lessons/0-course-setup/for-teachers.md) hazırladık!
|
||||
- VSCode veya Codespace içinde [Kodu Çalıştırma](./lessons/0-course-setup/how-to-run.md) yöntemi
|
||||
|
||||
Bu adımları izleyin:
|
||||
Bu adımları takip edin:
|
||||
|
||||
Depoyu Forklayın: Bu sayfanın sağ üst köşesindeki "Fork" düğmesine tıklayın.
|
||||
Depoyu Forklayın: Bu sayfanın sağ üst köşesindeki "Fork" butonuna tıklayın.
|
||||
|
||||
Depoyu Klonlayın: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Daha sonra kolayca bulabilmek için bu depoya yıldız (🌟) vermeyi unutmayın.
|
||||
Sonrasında bu depoya yıldız (🌟) vermeyi unutmayın, böylece bulmak daha kolay olur.
|
||||
|
||||
## Diğer Öğrencilerle Tanışın
|
||||
## Diğer Öğrenenlerle Tanışın
|
||||
|
||||
Bu kursu alan diğer öğrencilerle tanışmak, ağ oluşturmak ve destek almak için [resmi AI Discord sunucumuza](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) katılın.
|
||||
Bu kursa katılan diğer öğrenenlerle tanışmak, etkileşim kurmak ve destek almak için [resmi AI Discord sunucumuza](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) katılın.
|
||||
|
||||
Ürün geri bildirimi veya sorularınız varsa, inşa sırasında [Azure AI Foundry Geliştirici Forumu](https://aka.ms/foundry/forum)'nu ziyaret edin.
|
||||
Ürün geri bildirimi veya inşa sırasında sorularınız varsa, [Azure AI Foundry Geliştirici Forumu](https://aka.ms/foundry/forum) ziyaret edin.
|
||||
|
||||
## Quizler
|
||||
|
||||
> **Quizler hakkında bir not**: Tüm quizler etc\quiz-app klasöründeki Quiz-app klasöründe bulunur veya [Çevrimiçi Burada](https://ff-quizzes.netlify.app/) mevcuttur. Quiz uygulaması derslerin içinden bağlantılıdır ve yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Quizler kademeli olarak yerelleştirilmektedir.
|
||||
> **Quizler hakkında bir not**: Tüm quizler, etc\quiz-app içindeki Quiz-app klasöründe bulunur veya [Çevrimiçi Burada](https://ff-quizzes.netlify.app/). Quiz uygulaması derslerin içinde bağlantılıdır, yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Quizler kademeli olarak yerelleştirilmektedir.
|
||||
|
||||
## Yardım İsteniyor
|
||||
## Yardım Gerekiyor
|
||||
|
||||
Önerileriniz var mı veya yazım ya da kod hataları buldunuz mu? Bir sorun açın veya bir pull request oluşturun.
|
||||
Önerileriniz veya yazım/kod hataları bulduysanız, issue açabilir veya pull request oluşturabilirsiniz.
|
||||
|
||||
## Özel Teşekkürler
|
||||
|
||||
* **✍️ Birincil Yazar:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **✍️ Başlıca Yazar:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Editör:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote çizeri:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Quiz Oluşturucu:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Temel Katkıda Bulunanlar:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✅ Quiz Oluşturan:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Ana Katkıda Bulunanlar:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Diğer Müfredatlar
|
||||
|
||||
Ekibimiz diğer müfredatlar da üretiyor! İnceleyin:
|
||||
Ekibimiz diğer müfredatları da üretiyor! Göz atın:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
|
|
@ -181,7 +190,7 @@ Ekibimiz diğer müfredatlar da üretiyor! İnceleyin:
|
|||
|
||||
---
|
||||
|
||||
### Jeneratif AI Serisi
|
||||
### Generative AI Serisi
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -189,30 +198,30 @@ Ekibimiz diğer müfredatlar da üretiyor! İnceleyin:
|
|||
|
||||
---
|
||||
|
||||
### Temel Öğrenim
|
||||
### Temel Öğrenme
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copilot Serisi
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Yardım Alma
|
||||
|
||||
Yapay zeka uygulamaları geliştirmeyle ilgili takılırsanız veya sorularınız olursa, MCP hakkında tartışmalar için diğer öğrenciler ve deneyimli geliştiricilerle buluşun. Soruların karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur.
|
||||
AI uygulamaları geliştirirken takılırsanız veya sorularınız varsa, MCP topluluğundaki diğer öğrenenler ve deneyimli geliştiricilerle tartışmalara katılın. Burası destekleyici bir topluluk olup, sorular çevrilmekte ve bilgiler özgürce paylaşılmaktadır.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Ürün geri bildiriminiz veya geliştirme sırasında karşılaştığınız hatalar varsa ziyaret edin:
|
||||
Ürün geri bildirimi veya geliştirme esnasında hata bildirimi yapmak için:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -220,5 +229,5 @@ Yapay zeka uygulamaları geliştirmeyle ilgili takılırsanız veya sorularını
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Feragatname**:
|
||||
Bu belge, AI çeviri servisi [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba gösterilse de, otomatik çevirilerde hatalar veya yanlışlıklar olabileceğini lütfen unutmayın. Orijinal belge, kendi dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımı sonucu oluşabilecek yanlış anlamalar veya yorum farklılıkları nedeniyle herhangi bir sorumluluk kabul edilmemektedir.
|
||||
Bu belge, AI çeviri servisi [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba göstermemize rağmen, otomatik çevirilerin hatalar veya doğruluk sorunları içerebileceğini lütfen unutmayınız. Orijinal belge, kendi ana dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımı nedeniyle oluşabilecek herhangi bir yanlış anlaşılma veya yanlış yorumdan sorumlu değiliz.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
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Reference in New Issue