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"language_code": "el"
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"README.md": {
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"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
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"translation_date": "2026-02-28T10:23:05+00:00",
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"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
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"translation_date": "2026-04-06T15:43:24+00:00",
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"source_file": "README.md",
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"language_code": "el"
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[](https://discord.gg/nTYy5BXMWG)
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# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Αναλυτικό Πρόγραμμα
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# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Πρόγραμμα Σπουδών
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|:---:|
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| AI Για Αρχάριους - _Σημείωση από [@girlie_mac](https://twitter.com/girlie_mac)_ |
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| Τεχνητή Νοημοσύνη για Αρχάριους - _Σκιτσόσημo από την [@girlie_mac](https://twitter.com/girlie_mac)_ |
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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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Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το 12-εβδομαδιαίο, 24-μάθημα πρόγραμμα σπουδών μας! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα σπουδών είναι φιλικό για αρχάριους και καλύπτει εργαλεία όπως το TensorFlow και το PyTorch, καθώς και ζητήματα ηθικής στην AI
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### 🌐 Υποστήριξη σε Πολλές Γλώσσες
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### 🌐 Υποστήριξη Πολλών Γλωσσών
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#### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένο & Πάντα Ενημερωμένο)
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#### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένη & Πάντα Ενημερωμένη)
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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 (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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[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) | [Τσέχικα](../cs/README.md) | [Δανικά](../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) | [Χμερ](../km/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιάλαμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπάλι](../ne/README.md) | [Νιγηριανό Πίντζιν](../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 (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) | [Τελγουγκου](../te/README.md) | [Ταϊλανδικά](../th/README.md) | [Τούρκικα](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμικά](../vi/README.md)
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> **Προτιμάτε να Κλωνοποιήσετε τοπικά;**
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> **Θέλετε 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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> Αυτό το αποθετήριο περιλαμβάνει μεταφράσεις σε 50+ γλώσσες, κάτι που αυξάνει σημαντικά το μέγεθος λήψης. Για κλωνοποίηση χωρίς τις μεταφράσεις, χρησιμοποιήστε το sparse checkout:
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>
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> **Bash / macOS / Linux:**
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> ```bash
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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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> Αυτό σας παρέχει όλα όσα χρειάζεστε για να ολοκληρώσετε το μάθημα με πολύ πιο γρήγορη λήψη.
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
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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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**Αν επιθυμείτε επιπλέον υποστηριζόμενες γλώσσες μετάφρασης, αυτές αναφέρονται [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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## Γίνετε Μέλος της Κοινότητας
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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 Νου του Μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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**[Διάγραμμα σκέψης 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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* 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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* Διάφορες προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παλιάς καλής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και λογική ([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, αν και μπορεί να είναι λίγο λιγότερο ενημερωμένα με την πιο σύγχρονη τεχνολογία.
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* Λιγότερο δημοφιλείς προσεγγίσεις στην AI, όπως οι **Γενετικοί Αλγόριθμοι** και τα **Συστήματα Πολλαπλών Πρακτόρων**.
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Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα:
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Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα σπουδών:
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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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> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή μας στο Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
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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.
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* 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).
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* **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.
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* **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/).
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* Επιχειρηματικές περιπτώσεις για τη χρήση της **AI στις Επιχειρήσεις**. Σκεφτείτε να κάνετε την εκπαιδευτική διαδρομή [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**, η οποία περιγράφεται καλά στο [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
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* Πρακτικές εφαρμογές AI που βασίζονται σε **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, συνιστούμε να ξεκινήσετε με τις μονάδες 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), **[Γεννητική AI με την υπηρεσία Azure OpenAI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλες.
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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 τις διαδρομές μάθησης [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Build and Operate Machine Learning Solutions with 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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* **Conversational AI** και **Chat Bots**. Υπάρχει ξεχωριστή εκπαιδευτική διαδρομή [Δημιουργία λύσεων Conversational AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) και μπορείτε επίσης να ανατρέξετε σε [αυτό το άρθρο στο blog](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες.
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* **Βαθιά 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/).
|
||||
|
||||
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).
|
||||
Για μια απαλή εισαγωγή στα θέματα _AI στο Cloud_ μπορείτε να σκεφτείτε να κάνετε τη διαδρομή μάθησης [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).
|
||||
|
||||
# Περιεχόμενα
|
||||
# Περιεχόμενο
|
||||
|
||||
| | Σύνδεσμος Μαθήματος | PyTorch/Keras/TensorFlow | Εργαστήριο |
|
||||
| | Σύνδεσμος Μαθήματος | PyTorch/Keras/TensorFlow | Εργαστήριο |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 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) | | |
|
||||
| 0 | [Ρύθμιση Μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμιση του Περιβάλλοντος Ανάπτυξης](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Εισαγωγή στην AI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Εισαγωγή και Ιστορία της AI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Συμβολική AI** |
|
||||
| 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 | [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 | [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) | |
|
||||
| III | [**Εισαγωγή σε Νευρωνικά Δίκτυα**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Περσέψετρον](./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 Περσέψετρον 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 (PyTorch/TensorFlow) και Υπερεκπαίδευση](./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 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 [Τεχνικές 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 | [Αυτόματοι Κωδικοποιητές 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 | [Γενετικά Αντιπαραβαλλόμενα 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 | [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)|
|
||||
| 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 Επεξεργασίας 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 | [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) |
|
||||
| 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 δικών σου 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) | |
|
||||
| 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 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) | |
|
||||
| 20 | [Μεγάλα Μοντέλα Γλώσσας, Προγραμματισμός Προτροπών και Λίγες Εργασίες](./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 | [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) | | |
|
||||
| 22 | [Βαθιά Ενίσχυση 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 | [Συστήματα Πολλαπλών Πρακτόρων](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Ηθική της Τεχνητής Νοημοσύνης** | | |
|
||||
| 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 | [Πολυμορφικά Δίκτυα, CLIP και VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Σημειωματάριο](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
| 24 | [Ηθική της Τεχνητής Νοημοσύνης και Υπεύθυνη Τεχνητή Νοημοσύνη](./lessons/7-Ethics/README.md) | [Microsoft Learn: Αρχές Υπεύθυνης Τεχνητής Νοημοσύνης](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Επιπλέον Υλικό** | | |
|
||||
| 25 | [Πολυτροπικά 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 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.
|
||||
* Υλικό προανάγνωσης
|
||||
* Εκτελέσιμα Jupyter Notebooks, που συχνά είναι συγκεκριμένα για το πλαίσιο εργασίας (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο notebook περιέχει επίσης πολύ θεωρητικό υλικό, οπότε για να κατανοήσετε το θέμα πρέπει να περάσετε τουλάχιστον από μία έκδοση του notebook (είτε PyTorch είτε TensorFlow).
|
||||
* **Labs** διαθέσιμα για ορισμένα θέματα, που σας δίνουν την ευκαιρία να δοκιμάσετε να εφαρμόσετε το υλικό που έχετε μάθει σε ένα συγκεκριμένο πρόβλημα.
|
||||
* Μερικές ενότητες περιέχουν συνδέσμους προς [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ενότητες που καλύπτουν σχετικά θέματα.
|
||||
|
||||
## Ξεκινώντας
|
||||
|
||||
### 🎯 Νέος στην Τεχνητή Νοημοσύνη; Ξεκίνα Εδώ!
|
||||
### 🎯 Νέος στην Τεχνητή Νοημοσύνη; Ξεκινήστε Εδώ!
|
||||
|
||||
Αν είστε εντελώς νέος στην τεχνητή νοημοσύνη και θέλετε γρήγορα, πρακτικά παραδείγματα, ρίξτε μια ματιά στα [**Παραδείγματα για Αρχάριους**](./examples/README.md)! Περιλαμβάνουν:
|
||||
Αν είστε εντελώς νέος στην Τεχνητή Νοημοσύνη και θέλετε γρήγορα, πρακτικά παραδείγματα, ρίξτε μια ματιά στα [**Παραδείγματα για Αρχάριους**](./examples/README.md)! Περιλαμβάνουν:
|
||||
|
||||
- 🌟 **Hello AI World** - Το πρώτο σας πρόγραμμα τεχνητής νοημοσύνης (αναγνώριση προτύπων)
|
||||
- 🌟 **Γεια σου Κόσμε της ΤΝ** - Το πρώτο σας πρόγραμμα ΤΝ (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
|
||||
- 🖼️ **Ταξινομητής Εικόνων** - Κατηγοριοποιήστε εικόνες με λεπτομερή σχόλια
|
||||
- 💬 **Συναίσθημα 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.
|
||||
Αυτά τα παραδείγματα έχουν σχεδιαστεί για να σας βοηθήσουν να κατανοήσετε τις έννοιες της ΤΝ πριν βουτήξετε στο πλήρες πρόγραμμα σπουδών.
|
||||
|
||||
### 📚 Ρύθμιση Πλήρους Προγράμματος Σπουδών
|
||||
### 📚 Ολοκληρωμένη Ρύθμιση Προγράμματος Σπουδών
|
||||
|
||||
- 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)
|
||||
- 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 επίσης 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:
|
||||
|
||||
Φτιάξτε Fork του Αποθετηρίου: Κάντε κλικ στο κουμπί "Fork" στην πάνω δεξιά γωνία αυτής της σελίδας.
|
||||
Fork το Αποθετήριο: 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`
|
||||
Clone το Αποθετήριο: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Μην ξεχάσετε να προσθέσετε ένα αστέρι (🌟) σε αυτό το αποθετήριο για να το βρείτε πιο εύκολα αργότερα.
|
||||
Μην ξεχάσετε να κάνετε αστέρι (🌟) σε αυτό το repo για να το βρείτε πιο εύκολα αργότερα.
|
||||
|
||||
## Γνωρίστε άλλους Μαθητές
|
||||
|
||||
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.
|
||||
Εγγραφείτε στο [επίσημο Discord server της AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) για να γνωρίσετε και να δικτυωθείτε με άλλους μαθητές που κάνουν αυτό το μάθημα και να λάβετε υποστήριξη.
|
||||
|
||||
Αν έχετε σχόλια για το προϊόν ή ερωτήσεις κατά την ανάπτυξη, επισκεφθείτε το [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Αν έχετε σχόλια ή ερωτήσεις κατά την κατασκευή, επισκεφτείτε το [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Κουίζ
|
||||
|
||||
> **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.
|
||||
> **Μια σημείωση για τα κουίζ**: Όλα τα κουίζ περιλαμβάνονται στο φάκελο Quiz-app στο etc\quiz-app, ή [Online Εδώ](https://ff-quizzes.netlify.app/) Είναι συνδεδεμένα από μέσα στα μαθήματα, η εφαρμογή κουίζ μπορεί να τρέξει τοπικά ή να αναπτυχθεί στο Azure· ακολουθήστε τις οδηγίες στο φάκελο `quiz-app`. Σταδιακά μεταφράζονται.
|
||||
|
||||
## Ζητείται Βοήθεια
|
||||
## ΖΗΤΟΥΜΕ ΒΟΗΘΕΙΑ
|
||||
|
||||
Έχετε προτάσεις ή βρήκατε ορθογραφικά ή σφάλματα στον κώδικα; Ανοίξτε ένα ζήτημα ή δημιουργήστε ένα pull request.
|
||||
Έχετε προτάσεις ή βρήκατε ορθογραφικά ή λάθη κώδικα; Δημιουργήστε ένα θέμα ή κάντε ένα pull request.
|
||||
|
||||
## Ειδικές Ευχαριστίες
|
||||
|
||||
* **✍️ 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)
|
||||
* **✍️ Κύριος Συγγραφέας:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Επιμελητής:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Σχεδιαστής Σκιτστών:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Δημιουργός Κουίζ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Βασικοί Συντελεστές:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Άλλα Προγράμματα Σπουδών
|
||||
|
||||
|
|
@ -177,57 +178,57 @@
|
|||
|
||||
<!-- 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)
|
||||
[](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)
|
||||
[](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)
|
||||
|
||||
---
|
||||
|
||||
### 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)
|
||||
### Σειρά Γεννητικής ΤΝ
|
||||
[](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)
|
||||
|
||||
---
|
||||
|
||||
### 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)
|
||||
### 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)
|
||||
|
||||
---
|
||||
|
||||
### 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)
|
||||
### 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)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Λήψη Βοήθειας
|
||||
|
||||
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.
|
||||
Αν κολλήσετε ή έχετε οποιεσδήποτε ερωτήσεις όσον αφορά την κατασκευή εφαρμογών ΤΝ. Ενταχθείτε σε άλλους μαθητές και έμπειρους προγραμματιστές σε συζητήσεις 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 ανάπτυξη επισκεφθείτε:
|
||||
Αν έχετε σχόλια προϊόντος ή σφάλματα κατά την ανάπτυξη, επισκεφτείτε:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Αποποίηση ευθυνών**:
|
||||
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.
|
||||
**Αποποίηση ευθυνών**:
|
||||
Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία αυτόματης μετάφρασης AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ενώ επιδιώκουμε ακρίβεια, παρακαλούμε να γνωρίζετε ότι οι αυτόματες μεταφράσεις μπορεί να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, συνιστάται επαγγελματική ανθρώπινη μετάφραση. Δεν ευθυνόμαστε για τυχόν παρανοήσεις ή εσφαλμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -6,8 +6,8 @@
|
|||
"language_code": "pl"
|
||||
},
|
||||
"README.md": {
|
||||
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
|
||||
"translation_date": "2026-02-28T10:19:50+00:00",
|
||||
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
|
||||
"translation_date": "2026-04-06T15:39:09+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "pl"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -12,23 +12,23 @@
|
|||
|
||||
[](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 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.
|
||||
Odkryj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu, 24-lekcjowemu programowi nauczania! Zawiera praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i obejmuje narzędzia takie jak TensorFlow i PyTorch, a także kwestie etyki w AI.
|
||||
|
||||
|
||||
### 🌐 Wsparcie Wielojęzyczne
|
||||
### 🌐 Wsparcie wielojęzyczne
|
||||
|
||||
#### Wsparcie poprzez GitHub Action (Automatyczne i Zawsze Aktualne)
|
||||
#### Obsługiwane przez GitHub Action (zautomatyzowane i zawsze aktualne)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[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)
|
||||
[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) | [Khmer](../km/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)
|
||||
|
||||
> **Wolisz sklonować lokalnie?**
|
||||
> **Wolisz klonować lokalnie?**
|
||||
>
|
||||
> To repozytorium zawiera ponad 50 tłumaczeń językowych, co znacznie zwiększa rozmiar pobierania. Aby sklonować bez tłumaczeń, użyj sparse checkout:
|
||||
>
|
||||
|
|
@ -46,12 +46,12 @@ Odkryj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu pr
|
|||
> git sparse-checkout set --no-cone "/*" "!translations" "!translated_images"
|
||||
> ```
|
||||
>
|
||||
> To daje Ci wszystko, co potrzebne do ukończenia kursu, z dużo szybszym pobieraniem.
|
||||
> Dzięki temu pobierzesz wszystko, co potrzebne do ukończenia kursu, znacznie szybciej.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**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)**
|
||||
**Jeśli chcesz mieć dodatkowo wspierane języki tłumaczeń, 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
|
||||
|
|
@ -60,111 +60,111 @@ 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 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**.
|
||||
* Różnych podejść do sztucznej inteligencji, w tym „dobrej starej” symbolicznej metody z **reprzentacją wiedzy** i wnioskowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Sieci neuronowych** i **uczenia głębokiego**, które stanowią podstawę nowoczesnej AI. Omówimy koncepcje stojące za tymi ważnymi tematami, wykorzystując kod w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) oraz [PyTorch](http://pytorch.org).
|
||||
* **Architektury neuronowe** do pracy z obrazami i tekstem. Omówimy nowsze modele, choć mogą być trochę braki w najnowszych osiągnięciach.
|
||||
* Mniej popularne podejścia do AI, takie jak **algorytmy genetyczne** i **systemy wieloagentowe**.
|
||||
|
||||
Czego nie omówimy w tym programie nauczania:
|
||||
Czego nie obejmuje ten program nauczania:
|
||||
|
||||
> [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)
|
||||
> [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)
|
||||
|
||||
* 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/).
|
||||
* Przypadków biznesowych używania **AI w biznesie**. Rozważ podjęcie ścieżki nauki [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), rozwijanej we współpracy z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasycznego uczenia maszynowego**, które jest dobrze opisane w naszym programie [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktycznych zastosowań AI tworzonych za pomocą **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Zalecamy 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), **[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) lub [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ użycie ścieżek nauki [Budowa i obsługa rozwiązań 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 [Budowa i obsługa rozwiązań uczenia maszynowego z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **AI konwersacyjnej** i **botów czatujących**. Istnieje odrębna ścieżka nauki [Tworzenie rozwiązań AI konwersacyjnej](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz odnieść się do [tego wpisu na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) w celu uzyskania większej ilości informacji.
|
||||
* **Głębokiej matematyki** stojącej za uczeniem głębokim. Polecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Ian Goodfellow, Yoshua Bengio i Aaron Courville, dostępnej również online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
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).
|
||||
Dla łagodnego wprowadzenia w tematy _AI w chmurze_ rozważ skorzystanie ze ścieżki nauki [Rozpocznij pracę z sztuczną inteligencją w 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 | [Konfiguracja kursu](./lessons/0-course-setup/setup.md) | [Skonfiguruj swoje środowisko deweloperskie](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| | Link do lekcji | PyTorch/Keras/TensorFlow | Laboratorium |
|
||||
| :-: | :--------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Setup kursu](./lessons/0-course-setup/setup.md) | [Konfiguracja środowiska programistycznego](./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 Pojęć](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| II | **Symboliczne AI** |
|
||||
| 02 | [Reprezentacja Wiedzy i Systemy Eksperckie](./lessons/2-Symbolic/README.md) | [Systemy Eksperckie](./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 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 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) | [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) | |
|
||||
| 04 | [Perceptron Wielowarstwowy 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 Przetrenowania](./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 | [**Widzenie Komputerowe**](./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 Widzenie Komputerowe na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Wprowadzenie do Widzenia Komputerowego. 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 Wstępnie Wytrenowane i Transfer Learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) oraz [Triki podczas Treningu](./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 Wariacyjne Autoenkodery (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 Przeciwnikowe 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 | [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)|
|
||||
| 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) |
|
||||
| 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 | [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 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) | |
|
||||
| 19 | [Rozpoznawanie Nazwanych Encji (NER)](./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 AI** || |
|
||||
| 21 | [Algorytmy Genetyczne](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatnik](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Głębokie Uczenie przez Wzmocnienie](./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** | | |
|
||||
| 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) | |
|
||||
| 25 | [Sieci Wielomodalne, 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
|
||||
* 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.
|
||||
* Wykonywalne notatniki Jupyter, które często są specyficzne dla danego frameworka (**PyTorch** lub **TensorFlow**). Wykonywalny notatnik zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat, musisz przejść przynajmniej jedną wersję notatnika (PyTorch lub TensorFlow).
|
||||
* **Laboratoria** dostępne dla niektórych tematów, które dają Ci możliwość wypróbowania zastosowania przyswojonego materiału do konkretnego problemu.
|
||||
* Niektóre sekcje zawierają linki do modułów na [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) omawiających pokrewne tematy.
|
||||
|
||||
## Rozpoczęcie
|
||||
|
||||
### 🎯 Nowy w AI? Zacznij tutaj!
|
||||
|
||||
Jeśli jesteś całkowicie nowy w AI i chcesz szybkie, praktyczne przykłady, sprawdź nasze [**Przyjazne dla początkujących przykłady**](./examples/README.md)! Obejmują one:
|
||||
Jeśli jesteś zupełnie 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 podstaw
|
||||
- 🖼️ **Klasyfikator obrazów** - Klasyfikuj obrazy z szczegółowymi komentarzami
|
||||
- 💬 **Analiza sentymentu tekstu** - Analiza tekstu pozytywnego/negatywnego
|
||||
- 🌟 **Hello AI World** – Twój pierwszy program AI (rozpoznawanie wzorców)
|
||||
- 🧠 **Prosta sieć neuronowa** – Zbuduj sieć neuronową od podstaw
|
||||
- 🖼️ **Klasyfikator obrazów** – Klasyfikuj obrazy z dokładnymi komentarzami
|
||||
- 💬 **Analiza nastroju tekstu** – Analizuj pozytywny/negatywny nastrój tekstu
|
||||
|
||||
Te przykłady zostały zaprojektowane, aby pomóc Ci zrozumieć koncepcje AI przed zagłębieniem się w pełny program nauczania.
|
||||
Te przykłady są zaprojektowane, aby pomóc Ci zrozumieć koncepcje AI 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.
|
||||
- Stworzyliśmy [lekcję przygotowawczą](./lessons/0-course-setup/setup.md), która pomoże Ci skonfigurować środowisko programistyczne.
|
||||
- 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)
|
||||
|
||||
Wykonaj następujące kroki:
|
||||
Wykonaj te kroki:
|
||||
|
||||
Sforkuj repozytorium: Kliknij przycisk „Fork” w prawym górnym rogu tej strony.
|
||||
Fork repozytorium: Kliknij przycisk „Fork” w prawym górnym rogu tej strony.
|
||||
|
||||
Sklonuj repozytorium: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Nie zapomnij dodać gwiazdki (🌟) temu repozytorium, aby łatwiej je później znaleźć.
|
||||
Nie zapomnij dodać gwiazdki (🌟) temu repo, by łatwiej je znaleźć później.
|
||||
|
||||
## Poznaj innych uczących się
|
||||
## Poznaj innych uczniów
|
||||
|
||||
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.
|
||||
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 uczniami uczestniczącymi w kursie oraz uzyskać wsparcie.
|
||||
|
||||
Jeśli masz opinię na temat produktu lub pytania podczas tworzenia, odwiedź nasz [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Jeśli masz uwagi dotyczące produktu lub pytania podczas tworzenia, odwiedź nasz [Forum Deweloperskie Azure AI Foundry](https://aka.ms/foundry/forum)
|
||||
|
||||
## Quizy
|
||||
## Quizy
|
||||
|
||||
> **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.
|
||||
> **Uwaga 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 quizów można uruchomić lokalnie lub wdrożyć w Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Quizy są stopniowo lokalizowane.
|
||||
|
||||
## Potrzebna pomoc
|
||||
|
||||
Masz sugestie lub znalazłeś błędy ortograficzne albo w kodzie? Załóż issue lub stwórz pull request.
|
||||
Masz sugestie lub znalazłeś błędy w pisowni czy kodzie? Zgłoś problem lub utwórz pull request.
|
||||
|
||||
## Specjalne podziękowania
|
||||
## Szczególne podziękowania
|
||||
|
||||
* **✍️ Główny autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Redaktor:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
|
|
@ -174,39 +174,39 @@ Masz sugestie lub znalazłeś błędy ortograficzne albo w kodzie? Załóż issu
|
|||
|
||||
## Inne programy nauczania
|
||||
|
||||
Nasz zespół tworzy inne programy nauczania! Sprawdź:
|
||||
Nasz zespół tworzy też inne programy nauczania! Sprawdź:
|
||||
|
||||
<!-- 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)
|
||||
[](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 / Agenci
|
||||
[](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)
|
||||
[](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)
|
||||
|
||||
---
|
||||
|
||||
### 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)
|
||||
### Seria Generatywnej AI
|
||||
[](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 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)
|
||||
### Podstawowa nauka
|
||||
[](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)
|
||||
|
||||
---
|
||||
|
||||
|
|
@ -218,11 +218,11 @@ Nasz zespół tworzy inne programy nauczania! Sprawdź:
|
|||
|
||||
## Uzyskaj pomoc
|
||||
|
||||
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.
|
||||
Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI, dołącz do innych uczniów i doświadczonych programistów w dyskusjach o MCP. To wspierająca społeczność, gdzie pytania są mile widziane, a wiedza dzielona swobodnie.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Jeśli masz uwagi dotyczące produktu lub napotkasz błędy podczas tworzenia, odwiedź:
|
||||
Jeśli masz uwagi dotyczące produktu lub błędy podczas tworzenia, odwiedź:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -230,5 +230,5 @@ Jeśli masz uwagi dotyczące produktu lub napotkasz błędy podczas tworzenia, o
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**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.
|
||||
Ten dokument został przetłumaczony za pomocą usługi tłumaczeń AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż dążymy do dokładności, prosimy pamiętać, że tłumaczenia automatyczne mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym powinien być traktowany jako autorytatywne 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 użycia tego tłumaczenia.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -6,8 +6,8 @@
|
|||
"language_code": "tr"
|
||||
},
|
||||
"README.md": {
|
||||
"original_hash": "9eaca839b0b3f6d7f0a195fd33cebd30",
|
||||
"translation_date": "2026-02-28T10:21:21+00:00",
|
||||
"original_hash": "12c8eb6bf0867d2f1c32daf613ac5b8b",
|
||||
"translation_date": "2026-04-06T15:41:18+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "tr"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -12,24 +12,25 @@
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# Yeni Başlayanlar için Yapay Zeka - Bir Müfredat
|
||||
# Yapay Zeka Başlangıç Eğitim Müfredatı
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| Yeni Başlayanlar için Yapay Zeka - _[@girlie_mac](https://twitter.com/girlie_mac) tarafından çizilmiş Sketchnote_ |
|
||||
| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
12 haftalık, 24 derslik müfredatımızla **Yapay Zeka** (AI) dünyasını keşfedin! Pratik dersler, sınavlar ve laboratuvarlar içerir. Müfredat başlangıç seviyesine uygundur ve TensorFlow ve PyTorch gibi araçların yanı sıra yapay zekada etik konularını da 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 Dilli Destek
|
||||
|
||||
#### 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)
|
||||
[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) | [Khmer](../km/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 Klonlamayı mı Tercih Ediyorsunuz?**
|
||||
> **Yerel olarak Kopyalamayı 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:
|
||||
> Bu depo, indirme boyutunu önemli ölçüde artıran 50'den fazla dil çevirisini içerir. Çevirileri olmadan kopyalamak için, seyrek kontrolü kullanın:
|
||||
>
|
||||
> **Bash / macOS / Linux:**
|
||||
> ```bash
|
||||
|
|
@ -45,135 +46,135 @@
|
|||
> 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.
|
||||
> Bu, kursu tamamlamak için ihtiyacınız olan her şeyi çok daha hızlı indirme ile sunar.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Desteklenmesini istediğiniz ek diller varsa bunlar [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir**
|
||||
**Ek dil çevirilerinin desteklenmesini istiyorsanız, desteklenen diller listesi [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) bulunmaktadır**
|
||||
|
||||
## Topluluğa Katılın
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Ne Öğreneceksiniz
|
||||
## Öğrenecekleriniz
|
||||
|
||||
**[Kursun Zihin Haritası](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Dersin Akış Haritası](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
Bu müfredatta şunları öğreneceksiniz:
|
||||
Bu müfredatta öğrenecekleriniz:
|
||||
|
||||
* 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**.
|
||||
* **Bilgi Temsili** ve akıl yürütmeyle birlikte, "eski iyi" sembolik yaklaşımlar dahil olmak üzere Yapay Zeka'ya farklı yaklaşımlar ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* Modern yapay zekanın temelinde yer alan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuların arkasındaki kavramları, iki popüler framework olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod örnekleri üzerinden göstereceğiz.
|
||||
* Görüntü ve metinle çalışmak için **Sinir Mimarileri**. Güncel modelleri kapsayacağız ancak en son teknolojilerde biraz eksik olabilir.
|
||||
* Daha az yaygın AI yaklaşımları, örneğin **Genetik Algoritmalar** ve **Çoklu Ajan Sistemleri**.
|
||||
|
||||
Bu müfredatta kapsamayacağımız konular:
|
||||
Bu müfredatta kapsam dışı bırakılanlar:
|
||||
|
||||
> [Bu kurstaki tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulabilirsiniz](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Bu kursa ait tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulun](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **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/).
|
||||
* **İş Dünyasında AI** uygulamalarının iş örnekleri. Microsoft Learn'de bulunan [İş kullanıcıları için AI’ya giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) veya [AI İş Okulu](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) eğitim yollarını öneririz; bu okullar [INSEAD](https://www.insead.edu/) ile işbirliğiyle geliştirilmiştir.
|
||||
* Klasik **Makine Öğrenmesi**, bu konuda detaylı açıklamalar [Makine Öğrenmesine Giriş Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) yer almaktadır.
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** kullanılarak yapılan pratik AI uygulamaları. Bunun için Microsoft Learn'de bulunan [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) ve **[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)** modülleriyle 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). Önerilen eğitim yolları arasında [Azure Machine Learning ile makine öğrenimi çözümleri oluşturma ve işletme](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ve [Azure Databricks ile makine öğrenim çözümleri oluşturma ve işletme](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) bulunmaktadır.
|
||||
* **Konuşma AI** ve **Sohbet Botları**. Bunun için ayrı bir [Konuşma AI çözümleri oluşturma](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) eğitim yolu vardır; ayrıca detay için [bu blog yazısını](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) inceleyebilirsiniz.
|
||||
* Derin öğrenmenin arkasındaki **Derin Matematik**. Bu konuda, çevrimiçi olarak da bulunan Ian Goodfellow, Yoshua Bengio ve Aaron Courville'un yazdığı [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını tavsiye ederiz: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
_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.
|
||||
_Cloud_ üzerindeki yapay zeka konularına nazik bir giriş için [Azure'da yapay zekaya başlamak](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) öğrenim 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) | |
|
||||
| 0 | [Kurs Ayarları](./lessons/0-course-setup/setup.md) | [Geliştirme Ortamınızı Kurun](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Yapay Zekaya Giriş**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Yapay Zekaya Giriş ve Tarihçe](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik Yapay Zeka** |
|
||||
| 01 | [Yapay Zeka Tanıtımı ve Tarihi](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Sembolik AI** |
|
||||
| 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) | [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) |
|
||||
| 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'da Bilgisayarlı Görüyü Keşfet](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) |
|
||||
| 08 | [Önceden Eğitilmiş Ağlar ve Transfer Öğrenimi](./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 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 Tespiti](./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)|
|
||||
| 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)|
|
||||
| 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 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) | [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) | |
|
||||
| 18 | [Dönüştürücüler. 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) | [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** || |
|
||||
| 20 | [Büyük Dil Modelleri, İstek 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** || |
|
||||
| 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) | [Laboratuvar](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Çok Ajanlı Sistemler](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| 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** | | |
|
||||
| 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** | | |
|
||||
| 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
|
||||
* 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.
|
||||
* Çoğunlukla framework’e özgü olan yürütülebilir Jupyter Notebooks (**PyTorch** veya **TensorFlow**). Yürütülebilir notebook ayrıca bol miktarda teorik materyal içerir, bu nedenle konuyu anlamak için en az bir notebook sürümünü (PyTorch veya TensorFlow) incelemeniz gerekir.
|
||||
* Bazı konular için **Lablar**, 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'ya Yeni misiniz? Buradan Başlayın!
|
||||
### 🎯 AI’ya Yeni misiniz? Buradan Başlayın!
|
||||
|
||||
AI konusunda tamamen yeniyse ve hızlı, pratik örnekler görmek istiyorsanız, [**Yeni Başlayanlar İçin Örnekler**](./examples/README.md) sayfamıza göz atın! Bunlar şunları içerir:
|
||||
Eğer AI’ya tamamen yeniseniz ve hızlı, uygulamalı örnekler istiyorsanız, [**Yeni Başlayanlar için Örnekler**](./examples/README.md) sayfasına göz atın! Bunlar şunları içerir:
|
||||
|
||||
- 🌟 **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
|
||||
- 🌟 **Merhaba AI Dünyası** - İlk AI programınız (örüntü tanıma)
|
||||
- 🧠 **Basit Sinir Ağı** - Baştan bir sinir ağı oluşturun
|
||||
- 🖼️ **Görüntü Sınıflandırıcı** - Ayrıntılı yorumlarla görüntü sınıflandırma
|
||||
- 💬 **Metin Duygu Analizi** - Pozitif/negatif metin analiz edin
|
||||
|
||||
Bu örnekler, tam müfredata dalmadan önce AI kavramlarını anlamanıza yardımcı olmak için tasarlandı.
|
||||
Bu örnekler, tam müfredata girmeden önce AI kavramlarını anlamanıza yardımcı olmak için tasarlanmıştır.
|
||||
|
||||
### 📚 Tam Müfredat Kurulumu
|
||||
|
||||
- Geliştirme ortamınızı kurmanıza yardımcı olmak için bir [kurulum dersi](./lessons/0-course-setup/setup.md) oluşturduk.
|
||||
- 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
|
||||
- Kodu VSCode veya Codespace’de nasıl [çalıştıracağınızı](./lessons/0-course-setup/how-to-run.md) öğrenin.
|
||||
|
||||
Bu adımları takip edin:
|
||||
Aşağıdaki adımları izleyin:
|
||||
|
||||
Depoyu Forklayın: Bu sayfanın sağ üst köşesindeki "Fork" butonuna tıklayın.
|
||||
Depoyu Çatallayın: Bu sayfanın sağ üst köşesindeki "Fork" düğmesine tıklayın.
|
||||
|
||||
Depoyu Klonlayın: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Sonrasında bu depoya yıldız (🌟) vermeyi unutmayın, böylece bulmak daha kolay olur.
|
||||
Bu depoyu daha sonra daha kolay bulabilmek için yıldız (🌟) vermeyi unutmayın.
|
||||
|
||||
## Diğer Öğrenenlerle Tanışın
|
||||
|
||||
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.
|
||||
Bu kursu alan diğer öğrenenlerle tanışmak ve iletişim kurmak, destek almak için [resmi AI Discord sunucumuza](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) katılın.
|
||||
|
||||
Ürün geri bildirimi veya inşa sırasında sorularınız varsa, [Azure AI Foundry Geliştirici Forumu](https://aka.ms/foundry/forum) ziyaret edin.
|
||||
Oluşturma sırasında ürün geri bildirimi veya sorularınız varsa [Azure AI Foundry Developer Forum’u](https://aka.ms/foundry/forum) ziyaret edin.
|
||||
|
||||
## Quizler
|
||||
## Quizler
|
||||
|
||||
> **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.
|
||||
> **Quizler hakkında bir not**: Tüm quizler, etc\quiz-app içindeki Quiz-app klasöründe bulunur veya [Çevrimiçi Burada](https://ff-quizzes.netlify.app/) erişilebilir. Derslerin içinde linklenmiştir. Quiz uygulaması yerel olarak çalıştırılabilir veya Azure’a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Quizler yavaş yavaş yerelleştirilmektedir.
|
||||
|
||||
## Yardım Gerekiyor
|
||||
## Yardım İstiyoruz
|
||||
|
||||
Önerileriniz veya yazım/kod hataları bulduysanız, issue açabilir veya pull request oluşturabilirsiniz.
|
||||
Önerileriniz var mı veya yazım ya da kod hataları mı buldunuz? Bir sorun açın veya pull request oluşturun.
|
||||
|
||||
## Özel Teşekkürler
|
||||
|
||||
* **✍️ 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 Oluşturan:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Ana Katkıda Bulunanlar:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ Birincil 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/)
|
||||
* **🙏 Ana Katkıda Bulunanlar:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Diğer Müfredatlar
|
||||
|
||||
Ekibimiz diğer müfredatları da üretiyor! Göz atın:
|
||||
Ekibimiz diğer müfredatlar da üretiyor! Göz atın:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
|
|
@ -189,45 +190,45 @@ Ekibimiz diğer müfredatları da üretiyor! Göz atın:
|
|||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Generative AI Serisi
|
||||
|
||||
### Üretken 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)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
||||
### 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
|
||||
|
||||
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.
|
||||
AI uygulamaları oluştururken takılırsanız veya sorularınız olursa, MCP hakkında tartışmalara katılmak için diğer öğrenenler ve deneyimli geliştiricilerle buluşun. Burası soruların hoş karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Ürün geri bildirimi veya geliştirme esnasında hata bildirimi yapmak için:
|
||||
Ürün geri bildirimi ya da oluşan hatalar için:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- 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 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.
|
||||
**Feragatname**:
|
||||
Bu belge, AI çeviri servisi [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba sarf etsek de, otomatik çevirilerin hatalar veya yanlışlıklar içerebileceğini lütfen unutmayın. Orijinal belge, kendi dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımı sonucunda ortaya çıkabilecek herhangi bir yanlış anlama veya yanlış yorumdan sorumlu değiliz.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
Loading…
Reference in New Issue