From 2dcb6af2e5105da65909005627f812dabb7744ae Mon Sep 17 00:00:00 2001 From: "localizeflow[bot]" Date: Fri, 6 Feb 2026 08:16:07 +0000 Subject: [PATCH] chore(i18n): sync translations with latest source changes (chunk 1/1, 6 changes) --- translations/el/.co-op-translator.json | 4 +- translations/el/README.md | 164 ++++++++++----------- translations/pl/.co-op-translator.json | 4 +- translations/pl/README.md | 191 +++++++++++++------------ translations/tr/.co-op-translator.json | 4 +- translations/tr/README.md | 157 ++++++++++---------- 6 files changed, 262 insertions(+), 262 deletions(-) diff --git a/translations/el/.co-op-translator.json b/translations/el/.co-op-translator.json index f8cbfbab..c8bdfbb7 100644 --- a/translations/el/.co-op-translator.json +++ b/translations/el/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "el" }, "README.md": { - "original_hash": "1984fc89dd304a8a33ab5584691a99aa", - "translation_date": "2026-01-30T01:54:09+00:00", + "original_hash": "75fe3383afc51eaa84b82ace619ffea7", + "translation_date": "2026-02-06T08:15:57+00:00", "source_file": "README.md", "language_code": "el" }, diff --git a/translations/el/README.md b/translations/el/README.md index dfaaaba0..f552565d 100644 --- a/translations/el/README.md +++ b/translations/el/README.md @@ -12,184 +12,184 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Αναλυτικό Πρόγραμμα Σπουδών +# Τεχνητή Νοημοσύνη για Αρχάριους - Ένα Πρόγραμμα Σπουδών -|![Απεικόνιση με σημειώσεις από @girlie_mac https://twitter.com/girlie_mac](../../translated_images/el/ai-overview.0857791951d19500.webp)| +|![Σημειώσεις από @girlie_mac https://twitter.com/girlie_mac](../../translated_images/el/ai-overview.0857791951d19500.webp)| |:---:| | Τεχνητή Νοημοσύνη για Αρχάριους - _Σημειώσεις από [@girlie_mac](https://twitter.com/girlie_mac)_ | -Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το 12-εβδομαδιαίο, 24-μαθημάτων πρόγραμμα σπουδών μας! Περιλαμβάνει πρακτικά μαθήματα, τεστ και εργαστήρια. Το πρόγραμμα είναι φιλικό για αρχάριους και καλύπτει εργαλεία όπως TensorFlow και PyTorch, καθώς και ζητήματα ηθικής στην AI +Εξερευνήστε τον κόσμο της **Τεχνητής Νοημοσύνης** (AI) με το πρόγραμμα σπουδών μας 12 εβδομάδων και 24 μαθημάτων! Περιλαμβάνει πρακτικά μαθήματα, κουίζ και εργαστήρια. Το πρόγραμμα είναι φιλικό προς τους αρχάριους και καλύπτει εργαλεία όπως TensorFlow και PyTorch, καθώς και ηθική στην AI -### 🌐 Υποστήριξη Πολλαπλών Γλωσσών +### 🌐 Υποστήριξη Πολύγλωσσων -#### Υποστηρίζεται μέσω GitHub Action (Αυτοματοποιημένη & Πάντα Ενημερωμένη) +#### Υποστηρίζεται μέσω GitHub Action (Αυτόματη & Πάντα Ενημερωμένη) -[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) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιάλαμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπάλ](../ne/README.md) | [Νιγηριανή Πίτζιν](../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) | [Πουντζαμπικά (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) | [Ταγκαλόγκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδικά](../th/README.md) | [Τούρκικα](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md) +[Αραβικά](../ar/README.md) | [Μπενγκάλι](../bn/README.md) | [Βουλγαρικά](../bg/README.md) | [Βιρμανικά (Μιανμάρ)](../my/README.md) | [Κινέζικα (Απλοποιημένα)](../zh-CN/README.md) | [Κινέζικα (Παραδοσιακά, Χονγκ Κονγκ)](../zh-HK/README.md) | [Κινέζικα (Παραδοσιακά, Μακάο)](../zh-MO/README.md) | [Κινέζικα (Παραδοσιακά, Ταϊβάν)](../zh-TW/README.md) | [Κροατικά](../hr/README.md) | [Τσεχικά](../cs/README.md) | [Δανέζικα](../da/README.md) | [Ολλανδικά](../nl/README.md) | [Εσθονικά](../et/README.md) | [Φινλανδικά](../fi/README.md) | [Γαλλικά](../fr/README.md) | [Γερμανικά](../de/README.md) | [Ελληνικά](./README.md) | [Εβραϊκά](../he/README.md) | [Χίντι](../hi/README.md) | [Ουγγρικά](../hu/README.md) | [Ινδονησιακά](../id/README.md) | [Ιταλικά](../it/README.md) | [Ιαπωνικά](../ja/README.md) | [Κανάντα](../kn/README.md) | [Κορεατικά](../ko/README.md) | [Λιθουανικά](../lt/README.md) | [Μαλαισιανά](../ms/README.md) | [Μαλαγιάλαμ](../ml/README.md) | [Μαράθι](../mr/README.md) | [Νεπάλια](../ne/README.md) | [Νιγηριανό Πίτζιν](../pcm/README.md) | [Νορβηγικά](../no/README.md) | [Περσικά (Φαρσί)](../fa/README.md) | [Πολωνικά](../pl/README.md) | [Πορτογαλικά (Βραζιλίας)](../pt-BR/README.md) | [Πορτογαλικά (Πορτογαλίας)](../pt-PT/README.md) | [Πουντζάμπι (Gurmukhi)](../pa/README.md) | [Ρουμανικά](../ro/README.md) | [Ρωσικά](../ru/README.md) | [Σερβικά (Κυριλλικά)](../sr/README.md) | [Σλοβακικά](../sk/README.md) | [Σλοβενικά](../sl/README.md) | [Ισπανικά](../es/README.md) | [Σουαχίλι](../sw/README.md) | [Σουηδικά](../sv/README.md) | [Ταγκαλόγκ (Φιλιππινέζικα)](../tl/README.md) | [Ταμίλ](../ta/README.md) | [Τελούγκου](../te/README.md) | [Ταϊλανδέζικα](../th/README.md) | [Τουρκικά](../tr/README.md) | [Ουκρανικά](../uk/README.md) | [Ουρντού](../ur/README.md) | [Βιετναμέζικα](../vi/README.md) -> **Προτιμάτε να κάνετε τοποθέτηση τοπικά;** +> **Προτιμάτε να κάνετε τοπικό κλωνοποίηση;** -> Αυτό το αποθετήριο περιλαμβάνει 50+ μεταφράσεις γλωσσών που αυξάνουν σημαντικά το μέγεθος λήψης. Για να κάνετε τοποθέτηση χωρίς τις μεταφράσεις, χρησιμοποιήστε sparse checkout: +> Αυτό το αποθετήριο περιλαμβάνει 50+ μεταφράσεις γλωσσών, αυξάνοντας σημαντικά το μέγεθος λήψης. Για να κλωνοποιήσετε χωρίς μεταφράσεις, χρησιμοποιήστε sparse checkout: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> Με αυτόν τον τρόπο έχετε όλα όσα χρειάζεστε για να ολοκληρώσετε το μάθημα με πολύ πιο γρήγορη λήψη. +> Αυτό σας δίνει όλα όσα χρειάζεστε για να ολοκληρώσετε το μάθημα με πολύ γρηγορότερη λήψη. -**Αν θέλετε να υποστηριχθούν επιπλέον γλώσσες μετάφρασης, αυτές αναφέρονται [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Αν θέλετε να υποστηρίζονται επιπλέον γλώσσες μετάφρασης, είναι καταχωρημένες [εδώ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** -## Εγγραφείτε στην Κοινότητα +## Ενταχθείτε στην Κοινότητα [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) ## Τι θα μάθετε -**[Χάρτης Εννοιών του Μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** +**[Διάγραμμα Σκέψης του Μαθήματος](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** Σε αυτό το πρόγραμμα σπουδών, θα μάθετε: -* Διαφορετικές προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παλιάς καλής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και συλλογισμό ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* **Νευρωνικά Δίκτυα** και **Βαθιά Μάθηση**, που αποτελούν τον πυρήνα 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). -* **Νευρωνικές Αρχιτεκτονικές** για επεξεργασία εικόνων και κειμένου. Θα καλύψουμε πρόσφατα μοντέλα, αλλά ίσως να μην είναι πλήρως state-of-the-art. -* Λιγότερο δημοφιλείς προσεγγίσεις AI, όπως **Γενετικοί Αλγόριθμοι** και **Πολυ-πρακτορικά Συστήματα**. +* Διάφορες προσεγγίσεις στην Τεχνητή Νοημοσύνη, συμπεριλαμβανομένης της "παλιάς καλής" συμβολικής προσέγγισης με **Αναπαράσταση Γνώσης** και συλλογισμό ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **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). +* **Νευρωνικές Αρχιτεκτονικές** για εργασία με εικόνες και κείμενο. Θα καλύψουμε πρόσφατα μοντέλα αλλά μπορεί να είναι λίγο ελλιπείς στην πιο σύγχρονη κατάσταση της τέχνης. +* Λιγότερο δημοφιλείς προσεγγίσεις στην AI, όπως οι **Γενετικοί Αλγόριθμοι** και τα **Συστήματα Πολλαπλών Πρακτόρων**. -Τι δεν θα καλυφθεί σε αυτό το πρόγραμμα σπουδών: +Τι δεν θα καλύψουμε σε αυτό το πρόγραμμα σπουδών: -> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή Microsoft Learn μας](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Βρείτε όλους τους επιπλέον πόρους για αυτό το μάθημα στη συλλογή Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* Επιχειρηματικές περιπτώσεις χρήσης της **AI στις Επιχειρήσεις**. Σκεφτείτε να ακολουθήσετε 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/). +* Επιχειρηματικές περιπτώσεις χρήσης της **AI στις Επιχειρήσεις**. Σκεφτείτε να ακολουθήσετε το μαθησιακό μονοπάτι [Εισαγωγή στην AI για επιχειρηματικούς χρήστες](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) στο Microsoft Learn, ή το [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), που αναπτύχθηκε σε συνεργασία με το [INSEAD](https://www.insead.edu/). * **Κλασική Μηχανική Μάθηση**, που περιγράφεται καλά στο [Πρόγραμμα Σπουδών Μηχανικής Μάθησης για Αρχάριους](http://github.com/Microsoft/ML-for-Beginners). -* Πρακτικές εφαρμογές AI που βασίζονται σε **[Υπηρεσίες Γνώσης](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, προτείνουμε να ξεκινήσετε με τα μαθήματα στο 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 άλλα. -* Ειδικά **Cloud Frameworks** για ML, όπως [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 εκπαιδευτικές διαδρομές [Κατασκευή και λειτουργία λύσεων μηχανικής μάθησης με Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Κατασκευή και Λειτουργία Λύσεων Μηχανικής Μάθησης με Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). -* **Συνομιλητική AI** και **Chat Bots**. Υπάρχει ξεχωριστή εκπαιδευτική διαδρομή [Δημιουργία συνομιλητικών λύσεων AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), και μπορείτε επίσης να αναφερθείτε σε [αυτό το άρθρο ιστολογίου](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες. -* **Βαθιά Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό, προτείνουμε το βιβλίο [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/). +* Πρακτικές εφαρμογές AI που κατασκευάζονται χρησιμοποιώντας **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Για αυτό, προτείνουμε να ξεκινήσετε με τα μαθήματα Microsoft Learn για [οπτική](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [επεξεργασία φυσικής γλώσσας](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Γεννητική AI με Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** και άλλα. +* Συγκεκριμένα **Πλαίσια Cloud για ML**, όπως το [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum), ή [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Σκεφτείτε να χρησιμοποιήσετε τα μαθησιακά μονοπάτια [Κατασκευή και λειτουργία λύσεων μηχανικής μάθησης με Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) και [Κατασκευή και Λειτουργία Λύσεων Μηχανικής Μάθησης με Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Συνομιλητική AI** και **Chat Bots**. Υπάρχει ένα ξεχωριστό μαθησιακό μονοπάτι [Δημιουργία συνομιλητικών λύσεων AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), και μπορείτε επίσης να ανατρέξετε σε [αυτή την ανάρτηση στο ιστολόγιο](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) για περισσότερες λεπτομέρειες. +* **Εκτεταμένα Μαθηματικά** πίσω από τη βαθιά μάθηση. Για αυτό, θα προτείναμε το [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) των Ian Goodfellow, Yoshua Bengio και Aaron Courville, που είναι επίσης διαθέσιμο online στο [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Για μια απλή εισαγωγή στα θέματα _AI στο Cloud_ μπορείτε να ακολουθήσετε την Εκπαιδευτική Διαδρομή [Ξεκινήστε με τεχνητή νοημοσύνη στο Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Για μια απλή εισαγωγή σε θέματα _AI στο Cloud_ μπορείτε να σκεφτείτε να ακολουθήσετε το μαθησιακό μονοπάτι [Ξεκινήστε με τεχνητή νοημοσύνη στο Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). # Περιεχόμενο | | 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) | | +| 0 | [Ρύθμιση Μαθήματος](./lessons/0-course-setup/setup.md) | [Ρύθμισε το Περιβάλλον Ανάπτυξής σου](./lessons/0-course-setup/how-to-run.md) | | | I | [**Εισαγωγή στην AI**](./lessons/1-Intro/README.md) | | | | 01 | [Εισαγωγή και Ιστορία της AI](./lessons/1-Intro/README.md) | - | - | | II | **Συμβολική AI** | -| 02 | [Αναπαράσταση Γνώσης και Ειδικά Συστήματα](./lessons/2-Symbolic/README.md) | [Ειδικά Συστήματα](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Γράφος Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | +| 02 | [Αναπαράσταση Γνώσης και Συστήματα Εμπειρογνωμόνων](./lessons/2-Symbolic/README.md) | [Συστήματα Εμπειρογνωμόνων](./lessons/2-Symbolic/Animals.ipynb) / [Οντολογία](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Γράφος Εννοιών](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | 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 (PyTorch/TensorFlow) και Υπερπροσαρμογή](./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 Υπολογιστών 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 Υπολογιστών Όρασης στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Εισαγωγή στην Επιστήμη Υπολογιστών 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) | +| 03 | [Περσέψτρον](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Πολυστρωματικό Περσέψτρον και Δημιουργία του δικού μας Πλαισίου](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Σημειωματάριο](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Εισαγωγή σε Πλαίσια (PyTorch/TensorFlow) και Υπερεκπαιδεύση](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Υπολογιστική Όραση**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Εξερεύνηση της Υπολογιστικής Όρασης στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Εισαγωγή στην Υπολογιστική Όραση. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Σημειωματάριο](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | | 07 | [Συνελικτικά Νευρωνικά Δίκτυα](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Αρχιτεκτονικές CNN](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | -| 08 | [Προεκπαιδευμένα Δίκτυα και Μεταφορά Μάθησης](./lessons/4-ComputerVision/08-TransferLearning/README.md) και [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 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) | | +| 08 | [Προεκπαιδευμένα Δίκτυα και Μεταφορά Μάθησης](./lessons/4-ComputerVision/08-TransferLearning/README.md) και [Τεχνάσματα Εκπαίδευσης](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Εργαστήριο](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Αυτοκωδικοποιητές και VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Γεννητικά Αντιπαραθετικά Δίκτυα & Μεταφορά Καλλιτεχνικού Στυλ](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 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)| +| 12 | [Σημασιολογική Τμηματοποίηση. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | +| V | [**Επεξεργασία Φυσικής Γλώσσας**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Εξερεύνηση της Επεξεργασίας Φυσικής Γλώσσας στο Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)| | 13 | [Αναπαράσταση Κειμένου. Bow/TF-IDF](./lessons/5-NLP/13-TextRep/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb) | | | 14 | [Σημασιολογικές Ενσωματώσεις Λέξεων. Word2Vec και GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | -| 15 | [Μοντελοποίηση Γλώσσας. Εκπαίδευση των δικών σας Ενσωματώσεων](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | -| 16 | [Επαναφορικά 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 Επαναφορικά Δίκτυα](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Εργαστήριο](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | -| 18 | [Μετασχηματιστές. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Αναγνώριση Ονομαστικών Οντοτήτων](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Μεγάλα Μοντέλα Γλώσσας, Προγραμματισμός Εντολών και Ασκήσεις 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) | | +| 15 | [Μοντελοποίηση Γλώσσας. Εκπαίδευση των δικών σας ενσωματώσεων](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | +| 16 | [Επαναληπτικά Νευρωνικά Δίκτυα](./lessons/5-NLP/16-RNN/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/RNNTF.ipynb) | | +| 17 | [Γεννητικά Επαναληπτικά Δίκτυα](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Εργαστήριο](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | +| 18 | [Transformers. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [Αναγνώριση Ονομασμένων Οντοτήτων](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Εργαστήριο](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Μεγάλα Μοντέλα Γλώσσας, Προγραμματισμός Εντολών και Εργασίες Με Λίγα Παραδείγματα](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | 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 | [Πολυπρακτορικά Συστήματα](./lessons/6-Other/23-MultiagentSystems/README.md) | | | +| 22 | [Βαθιά Ενισχυτική Μάθηση](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Εργαστήριο](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 23 | [Συστήματα Πολύ-Πρακτόρων](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Ηθική της Τεχνητής Νοημοσύνης** | | | -| 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) | | +| 24 | [Ηθική της Τεχνητής Νοημοσύνης και Υπεύθυνη ΤΝ](./lessons/7-Ethics/README.md) | [Microsoft Learn: Αρχές Υπεύθυνης ΤΝ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Επιπλέον** | | | -| 25 | [Πολυτροπικά Δίκτυα, CLIP και VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Σημειωματάριο](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | +| 25 | [Πολυ-μορφικά Δίκτυα, CLIP και VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Σημειωματάριο](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Κάθε μάθημα περιλαμβάνει * Υλικό προανάγνωσης -* Εκτελέσιμα Σημειωματάρια Jupyter, που συχνά είναι συγκεκριμένα για το πλαίσιο (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο σημειωματάριο περιέχει επίσης πολύ θεωρητικό υλικό, οπότε για να κατανοήσετε το θέμα χρειάζεται να περάσετε τουλάχιστον από μία έκδοση του σημειωματάριου (είτε PyTorch είτε TensorFlow). -* **Εργαστήρια** διαθέσιμα σε ορισμένα θέματα, που σας δίνουν την ευκαιρία να δοκιμάσετε την εφαρμογή του υλικού που έχετε μάθει σε ένα συγκεκριμένο πρόβλημα. -* Ορισμένα τμήματα περιέχουν συνδέσμους σε μονάδες [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) που καλύπτουν σχετικές θεματικές. +* Εκτελέσιμα Σημειωματάρια Jupyter, τα οποία συχνά είναι ειδικά για το πλαίσιο (**PyTorch** ή **TensorFlow**). Το εκτελέσιμο σημειωματάριο περιέχει επίσης πάρα πολύ θεωρητικό υλικό, έτσι για να κατανοήσεις το θέμα πρέπει να περάσεις τουλάχιστον από μία έκδοση του σημειωματαρίου (είτε PyTorch είτε TensorFlow). +* **Εργαστήρια** διαθέσιμα για μερικά θέματα, που σου δίνουν την ευκαιρία να δοκιμάσεις την εφαρμογή του υλικού που έχεις μάθει σε ένα συγκεκριμένο πρόβλημα. +* Κάποιες ενότητες περιέχουν συνδέσμους προς [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) ενότητες που καλύπτουν συναφή θέματα. ## Ξεκινώντας -### 🎯 Είστε νέοι στην Τεχνητή Νοημοσύνη; Ξεκινήστε Εδώ! +### 🎯 Νέος στην Τεχνητή Νοημοσύνη; Ξεκίνα Εδώ! -Εάν είστε εντελώς νέοι στην Τεχνητή Νοημοσύνη και θέλετε γρήγορα, πρακτικά παραδείγματα, ρίξτε μια ματιά στα [**Φιλικά προς Αρχάριους Παραδείγματα**](./examples/README.md)! Αυτά περιλαμβάνουν: +Αν είσαι εντελώς νέος στην Τεχνητή Νοημοσύνη και θέλεις γρήγορα, πρακτικά παραδείγματα, δες τα [**Φιλικά για Αρχάριους Παραδείγματα**](./examples/README.md)! Αυτά περιλαμβάνουν: -- 🌟 **Γεια σου Κόσμε AI** - Το πρώτο σας πρόγραμμα τεχνητής νοημοσύνης (ανίχνευση προτύπων) -- 🧠 **Απλό Νευρωνικό Δίκτυο** - Δημιουργία ενός νευρωνικού δικτύου από το μηδέν +- 🌟 **Γεια σου Κόσμε της ΤΝ** - Το πρώτο σου πρόγραμμα ΤΝ (αναγνώριση προτύπων) +- 🧠 **Απλό Νευρωνικό Δίκτυο** - Δημιούργησε ένα νευρωνικό δίκτυο από το μηδέν -- 🖼️ **Ταξινομητής Εικόνων** - Ταξινομήστε εικόνες με λεπτομερή σχόλια -- 💬 **Συναισθηματική Ανάλυση Κειμένου** - Αναλύστε θετικό/αρνητικό κείμενο +- 🖼️ **Ταξινομητής Εικόνων** - Ταξινομεί εικόνες με λεπτομερή σχόλια +- 💬 **Συναίσθημα Κειμένου** - Αναλύει θετικό/αρνητικό κείμενο -Αυτά τα παραδείγματα έχουν σχεδιαστεί για να σας βοηθήσουν να κατανοήσετε τις έννοιες της τεχνητής νοημοσύνης πριν προχωρήσετε στο πλήρες πρόγραμμα σπουδών. +Αυτά τα παραδείγματα έχουν σχεδιαστεί για να σας βοηθήσουν να κατανοήσετε τις έννοιες της τεχνητής νοημοσύνης πριν εμβαθύνετε στο πλήρες πρόγραμμα σπουδών. ### 📚 Ρύθμιση Πλήρους Προγράμματος Σπουδών -- Έχουμε δημιουργήσει ένα [μάθημα ρύθμισης](./lessons/0-course-setup/setup.md) για να σας βοηθήσουμε με την εγκατάσταση του περιβάλλοντος ανάπτυξής σας. - Για τους εκπαιδευτικούς, έχουμε επίσης δημιουργήσει ένα [μάθημα ρύθμισης προγράμματος σπουδών](./lessons/0-course-setup/for-teachers.md)! -- Πώς να [Τρέξετε 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 ένα [μάθημα ρύθμισης προγράμματος σπουδών](./lessons/0-course-setup/for-teachers.md) και για εσάς! +- Πώς να [εκτελέσετε τον κώδικα σε VSCode ή Codespace](./lessons/0-course-setup/how-to-run.md) -Ακολουθήστε τα παρακάτω βήματα: +Ακολουθήστε αυτά τα βήματα: -Δημιουργήστε Fork στο Αποθετήριο: Κάντε κλικ στο κουμπί "Fork" στην πάνω δεξιά γωνία αυτής της σελίδας. +Fork το Αποθετήριο: Κάντε κλικ στο κουμπί "Fork" στην επάνω δεξιά γωνία αυτής της σελίδας. -Κλωνοποιήστε το Αποθετήριο: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Κλωνοποιήστε το Αποθετήριο: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Μην ξεχάσετε να βάλετε αστέρι (🌟) σε αυτό το αποθετήριο για να το βρίσκετε πιο εύκολα αργότερα. +Μην ξεχάσετε να προσθέσετε αστέρι (🌟) σε αυτό το αποθετήριο για να το βρίσκετε πιο εύκολα αργότερα. ## Γνωρίστε άλλους Μαθητές -Εγγραφείτε στο [επίσημο Discord server 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 λάβετε υποστήριξη. +Γίνετε μέλος στο [επίσημο Discord server τεχνητής νοημοσύνης](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) για να γνωρίσετε και να δικτυωθείτε με άλλους μαθητές που παρακολουθούν αυτό το μάθημα και να λάβετε υποστήριξη. -Αν έχετε σχόλια ή ερωτήσεις κατά την ανάπτυξη, επισκεφτείτε το [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) +Αν έχετε σχόλια για το προϊόν ή ερωτήσεις κατά την κατασκευή, επισκεφθείτε το [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) ## Κουίζ -> **Σημείωση για τα κουίζ**: Όλα τα κουίζ βρίσκονται στον φάκελο Quiz-app στο etc\quiz-app, ή [Online Εδώ](https://ff-quizzes.netlify.app/) Συνδέονται μέσα από τα μαθήματα και η εφαρμογή κουίζ μπορεί να τρέξει τοπικά ή να αναπτυχθεί στο Azure· ακολουθήστε τις οδηγίες στον φάκελο `quiz-app`. Βρίσκονται σταδιακά σε διαδικασία τοπικοποίησης. +> **Μια σημείωση για τα κουίζ**: Όλα τα κουίζ βρίσκονται στον φάκελο Quiz-app στον φάκελο etc\quiz-app, ή [ηλεκτρονικά εδώ](https://ff-quizzes.netlify.app/) Είναι συνδεδεμένα μέσα από τα μαθήματα. Η εφαρμογή κουίζ μπορεί να τρέξει τοπικά ή να αναπτυχθεί στο Azure. Ακολουθήστε τις οδηγίες στον φάκελο `quiz-app`. Βρίσκονται σταδιακά σε τοπική μετάφραση. -## Ζητείται Βοήθεια +## Υποστήριξη -Έχετε προτάσεις ή έχετε βρει ορθογραφικά ή κωδικογραφικά λάθη; Δημιουργήστε ένα issue ή κάντε pull request. +Έχετε προτάσεις ή βρήκατε ορθογραφικά ή σφάλματα κώδικα; Δημιουργήστε ένα issue ή υποβάλετε ένα pull request. ## Ειδικές Ευχαριστίες * **✍️ Κύριος Συγγραφέας:** [Dmitry Soshnikov](http://soshnikov.com), PhD -* **🔥 Επιμελητής:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Εικονογράφος Sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🔥 Επιμελήτρια:** [Jen Looper](https://twitter.com/jenlooper), PhD +* **🎨 Σκιτσογράφος:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Δημιουργός Κουίζ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) -* **🙏 Κύριοι Συνεισφέροντες:** [Evgenii Pishchik](https://github.com/Pe4enIks) +* **🙏 Βασικοί Συνεισφέροντες:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Άλλα Προγράμματα Σπουδών -Η ομάδα μας παράγει και άλλα προγράμματα σπουδών! Δείτε τα: +Η ομάδα μας παράγει και άλλα προγράμματα σπουδών! Ρίξτε μια ματιά: ### LangChain [![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) - +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agents [![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) [![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) [![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Σειρά Γενετικής Τεχνητής Νοημοσύνης [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) +[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) --- - + ### Βασική Μάθηση [![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) @@ -197,10 +197,10 @@ [![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) [![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) [![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Σειρά Copilot [![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) @@ -209,11 +209,11 @@ ## Λήψη Βοήθειας -Αν κολλήσετε ή έχετε οποιεσδήποτε ερωτήσεις σχετικά με την ανάπτυξη εφαρμογών AI. Συμμετάσχετε με άλλους μαθητές και έμπειρους προγραμματιστές σε συζητήσεις για το MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα. +Αν κολλήσετε ή έχετε οποιεσδήποτε ερωτήσεις για την κατασκευή εφαρμογών τεχνητής νοημοσύνης, συμμετάσχετε με άλλους μαθητές και έμπειρους προγραμματιστές σε συζητήσεις για το MCP. Είναι μια υποστηρικτική κοινότητα όπου οι ερωτήσεις είναι ευπρόσδεκτες και η γνώση μοιράζεται ελεύθερα. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Αν έχετε σχόλια ή σφάλματα κατά την ανάπτυξη επισκεφτείτε: +Αν έχετε σχόλια για το προϊόν ή σφάλματα κατά την κατασκευή, επισκεφθείτε: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) @@ -221,5 +221,5 @@ **Αποποίηση ευθυνών**: -Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία αυτόματης μετάφρασης AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ενώ προσπαθούμε για ακρίβεια, παρακαλώ σημειώστε ότι οι αυτοματοποιημένες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στην αρχική του γλώσσα πρέπει να θεωρείται η αυθεντική 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. +Αυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία αυτόματης μετάφρασης AI [Co-op Translator](https://github.com/Azure/co-op-translator). Παρόλο που κάνουμε το καλύτερο δυνατό για ακρίβεια, παρακαλούμε να γνωρίζετε ότι οι αυτόματες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, προτείνεται η επαγγελματική μετάφραση από ανθρώπους. Δεν φέρουμε ευθύνη για οποιεσδήποτε παρεξηγήσεις ή λανθασμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης. \ No newline at end of file diff --git a/translations/pl/.co-op-translator.json b/translations/pl/.co-op-translator.json index bce3dda6..a16d51f6 100644 --- a/translations/pl/.co-op-translator.json +++ b/translations/pl/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "pl" }, "README.md": { - "original_hash": "1984fc89dd304a8a33ab5584691a99aa", - "translation_date": "2026-01-30T01:49:37+00:00", + "original_hash": "75fe3383afc51eaa84b82ace619ffea7", + "translation_date": "2026-02-06T08:11:43+00:00", "source_file": "README.md", "language_code": "pl" }, diff --git a/translations/pl/README.md b/translations/pl/README.md index 99f1afaa..86b2fefb 100644 --- a/translations/pl/README.md +++ b/translations/pl/README.md @@ -12,34 +12,34 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Sztuczna inteligencja dla początkujących - program nauczania +# Sztuczna inteligencja dla początkujących - Program nauczania -|![Sketchnote autorstwa @girlie_mac https://twitter.com/girlie_mac](../../translated_images/pl/ai-overview.0857791951d19500.webp)| +|![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/pl/ai-overview.0857791951d19500.webp)| |:---:| -| AI dla początkujących - _Sketchnote autorstwa [@girlie_mac](https://twitter.com/girlie_mac)_ | +| AI For Beginners - _Sketchnote autorstwa [@girlie_mac](https://twitter.com/girlie_mac)_ | -Odkryj świat **Sztucznej Inteligencji** (AI) z naszym 12-tygodniowym, 24-lekcyjnym programem nauczania! Zawiera praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i obejmuje narzędzia takie jak TensorFlow i PyTorch, a także etykę w AI. +Odkryj świat **Sztucznej Inteligencji** (AI) dzięki naszemu 12-tygodniowemu programowi nauczania składającemu się z 24 lekcji! Zawiera praktyczne lekcje, quizy i laboratoria. Program jest przyjazny dla początkujących i omawia narzędzia takie jak TensorFlow i PyTorch, a także etykę w AI. ### 🌐 Wsparcie wielojęzyczne -#### Obsługiwane za pomocą GitHub Action (automatyczne i zawsze aktualne) +#### Obsługiwane za pomocą GitHub Action (Automatyczne i zawsze aktualne) [Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](./README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md) > **Wolisz sklonować lokalnie?** -> To repozytorium zawiera ponad 50 tłumaczeń językowych, co znacznie zwiększa rozmiar pobierania. Aby sklonować bez tłumaczeń, użyj sparsowanego checkoutu: +> To repozytorium zawiera ponad 50 tłumaczeń językowych, co znacznie zwiększa rozmiar pobierania. Aby sklonować bez tłumaczeń, użyj sparse checkout: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> To zapewnia wszystko, czego potrzebujesz, aby ukończyć kurs, przy znacznie szybszym pobieraniu. +> Dzięki temu otrzymasz wszystko, czego potrzebujesz do ukończenia kursu z dużo szybszym pobieraniem. -**Jeśli chcesz, aby obsługiwane były dodatkowe języki tłumaczeń, są one wymienione [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** +**Jeśli chcesz, aby obsługiwane były dodatkowe języki tłumaczeń, znajdują się one [tutaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)** ## Dołącz do społeczności [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -50,41 +50,41 @@ Odkryj świat **Sztucznej Inteligencji** (AI) z naszym 12-tygodniowym, 24-lekcyj 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** i **Uczenia głębokiego**, które są sednem nowoczesnej AI. Pokażemy koncepcje stojące za tymi ważnymi tematami, używając kodu w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) oraz [PyTorch](http://pytorch.org). -* **Neuronalnych architektur** do pracy z obrazami i tekstem. Omówimy najnowsze modele, choć mogą być nieco mniej aktualne względem stanu wiedzy. -* Mniej popularne podejścia do AI, takie jak **algorytmy genetyczne** i **systemy wieloagentowe**. +* Różnych podejść do Sztucznej Inteligencji, w tym "dawnego dobrego" podejścia symbolicznego z **Reprezentacją Wiedzy** i rozumowaniem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* **Sieci neuronowych** i **Głębokiego uczenia**, które są sednem nowoczesnej AI. Pokażemy koncepcje stojące za tymi ważnymi tematami, używając kodu w dwóch najpopularniejszych frameworkach - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org). +* **Architektury neuronowe** do pracy z obrazami i tekstem. Omówimy najnowsze modele, choć mogą być nieco odbiegające od stanu wiedzy najbardziej zaawansowanej. +* Mniej popularne podejścia do AI, takie jak **Algorytmy genetyczne** i **Systemy wieloagentowe**. -Czego nie omówimy w tym programie: +Czego nie będziemy omawiać w tym programie nauczania: -> [Znajdź wszystkie dodatkowe zasoby dla 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) -* Przypadki biznesowe wykorzystania **AI w biznesie**. Rozważ rozpoczęcie 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), opracowaną we współpracy z [INSEAD](https://www.insead.edu/). -* **Klasyczne uczenie maszynowe**, które jest dobrze opisane w naszym [Programie nauczania dla początkujących z uczenia maszynowego](http://github.com/Microsoft/ML-for-Beginners). -* Praktycznych zastosowań AI zbudowanych przy użyciu **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. W tym celu 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 frameworków ML w chmurze, 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 edukacyjnych [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). -* **Konwersacyjne AI** i **Chatboty**. Istnieje osobna ścieżka nauczania [Twórz rozwiązania konwersacyjne AI](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/) dla szczegółów. -* **Głębokiej matematyki** stojącej za uczeniem głębokim. W tym celu polecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Iana Goodfellowa, Yoshua Bengio oraz Aarona Courville, dostępną również online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). +* Przypadków biznesowych użycia **AI w biznesie**. Rozważ skorzystanie ze ścieżki nauczania [Wprowadzenie do AI dla użytkowników biznesowych](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn lub [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), opracowanej we współpracy z [INSEAD](https://www.insead.edu/). +* **Klasycznego uczenia maszynowego**, które jest dobrze opisane w naszym [Programie nauczania Uczenie maszynowe dla początkujących](http://github.com/Microsoft/ML-for-Beginners). +* Praktycznych zastosowań AI zbudowanych przy pomocy **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. W tym celu polecamy rozpoczęcie od modułów Microsoft Learn dotyczących [wizji komputerowej](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [przetwarzania języka naturalnego](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generatywnej AI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i innych. +* Specyficznych **Chmurowych Frameworków ML**, takich jak [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) lub [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Rozważ skorzystanie ze ścieżek nauczania [Buduj i obsługuj rozwiązania uczenia maszynowego z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) oraz [Buduj i obsługuj rozwiązania uczenia maszynowego z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum). +* **Rozmownych AI** i **Chat Botów**. Istnieje oddzielna ścieżka nauczania [Tworzenie rozwiązań conversational AI](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a także możesz zapoznać się z [tym wpisem na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) dla bardziej szczegółowych informacji. +* **Głębokiej matematyki** stojącej za głębokim uczeniem. W tym celu polecamy książkę [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autorstwa Iana Goodfellowa, Yoshua Bengio i Aarona Courville, która jest również dostępna online pod adresem [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -Dla łagodniejszego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć ścieżkę nauczania [Pierwsze kroki ze sztuczną inteligencją na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum). +Dla łagodnego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć [Rozpoczęcie pracy ze sztuczną inteligencją na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) ścieżkę nauczania. # Zawartość | | Link do lekcji | PyTorch/Keras/TensorFlow | Laboratorium | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | -| 0 | [Konfiguracja kursu](./lessons/0-course-setup/setup.md) | [Konfiguracja środowiska developerskiego](./lessons/0-course-setup/how-to-run.md) | | +| 0 | [Ustawienia 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 | **Symboliczne 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 | **Symboliczna AI** | +| 02 | [Reprezentacja wiedzy i systemy ekspertowe](./lessons/2-Symbolic/README.md) | [Systemy ekspertowe](./lessons/2-Symbolic/Animals.ipynb) / [Ontologia](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf koncepcji](./lessons/2-Symbolic/MSConceptGraph.ipynb) | | | III | [**Wprowadzenie do sieci neuronowych**](./lessons/3-NeuralNetworks/README.md) ||| | 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) | +| 05 | [Wprowadzenie do frameworków (PyTorch/TensorFlow) i overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | | IV | [**Wizja komputerowa**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Poznaj wizję komputerową na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | | 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 transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [Sztuczki 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) | +| 08 | [Sieci wytrenowane wstępnie i transfer learning](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [tricki szkoleniowe](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorium](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | | 09 | [Autoenkodery i VAE](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | | 10 | [Generatywne sieci przeciwstawne i transfer stylu artystycznego](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | | 11 | [Detekcja obiektów](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorium](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | @@ -95,131 +95,132 @@ Dla łagodniejszego wprowadzenia do tematów _AI w chmurze_ możesz rozważyć | 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 podpowiedzi 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) | | +| 18 | [Transformatory. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | +| 19 | [Rozpoznawanie nazwanych bytów](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorium](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Duże modele językowe, programowanie promptami i zadania few-shot](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Inne techniki AI** || | | 21 | [Algorytmy genetyczne](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notatnik](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | | | 22 | [Głębokie uczenie ze wzmocnieniem](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Laboratorium](./lessons/6-Other/22-DeepRL/lab/README.md) | | 23 | [Systemy wieloagentowe](./lessons/6-Other/23-MultiagentSystems/README.md) | | | | VII | **Etyka AI** | | | -| 24 | [Etyka AI i odpowiedzialne 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) | | +| 24 | [Etyka AI i odpowiedzialna AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Zasady odpowiedzialnej AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | | | IX | **Dodatki** | | | | 25 | [Sieci multimodalne, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notatnik](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | | ## Każda lekcja zawiera -* Materiały do wstępnej lektury -* Wykonywalne notatniki Jupyter, które często są specyficzne dla frameworku (**PyTorch** lub **TensorFlow**). Wykonywalny notatnik zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat, należy przejść przez przynajmniej jedną wersję notatnika (PyTorch lub TensorFlow). -* **Laboratoria** dostępne dla niektórych tematów, które dają możliwość zastosowania materiału, którego się nauczyłeś, do konkretnego problemu. -* Niektóre sekcje zawierają linki do modułów [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) omawiających powiązane tematy. +* Materiały do przeczytania przed zajęciami +* Wykonalne notatniki Jupyter, które często są specyficzne dla frameworku (**PyTorch** lub **TensorFlow**). Notatnik zawiera również dużo materiału teoretycznego, więc aby zrozumieć temat, trzeba przejść przynajmniej jedną wersję notatnika (PyTorch lub TensorFlow). +* **Laboratoria** dostępne dla niektórych tematów, dające możliwość wypróbowania zastosowania przyswojonego materiału do konkretnego problemu. +* Niektóre sekcje zawierają linki do modułów [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), które omawiają tematy pokrewne. -## Rozpoczęcie pracy +## Rozpoczęcie ### 🎯 Nowy w AI? Zacznij tutaj! -Jeśli jesteś zupełnie nowy w AI i chcesz szybkie, praktyczne przykłady, sprawdź nasze [**Przyjazne dla początkujących przykłady**](./examples/README.md)! Zawierają one: +Jeśli jesteś całkowicie nowy w AI i chcesz szybkie, praktyczne przykłady, sprawdź nasze [**Przyjazne dla początkujących przykłady**](./examples/README.md)! Obejmują one: - 🌟 **Hello AI World** - Twój pierwszy program AI (rozpoznawanie wzorców) -- 🧠 **Prosta sieć neuronowa** - Zbuduj sieć neuronową od podstaw +- 🧠 **Prosta sieć neuronowa** - Zbuduj sieć neuronową od zera - 🖼️ **Klasyfikator obrazów** - Klasyfikuj obrazy z szczegółowymi komentarzami - 💬 **Analiza sentymentu tekstu** - Analizuj tekst pod kątem pozytywnych/negatywnych emocji -Te przykłady mają pomóc zrozumieć koncepcje AI przed rozpoczęciem pełnego kursu. +Te przykłady mają pomóc Ci zrozumieć koncepcje sztucznej inteligencji zanim zagłębisz się w pełny program nauczania. -### 📚 Pełna konfiguracja kursu +### 📚 Pełna konfiguracja programu nauczania -- Stworzyliśmy [lekcję konfiguracji](./lessons/0-course-setup/setup.md), aby pomóc Ci z uruchomieniem środowiska programistycznego. - Dla nauczycieli przygotowaliśmy także [lekcję konfiguracji programu nauczania](./lessons/0-course-setup/for-teachers.md)! +- Stworzyliśmy [lekcję wprowadzającą](./lessons/0-course-setup/setup.md), która pomoże Ci skonfigurować środowisko programistyczne. +- Dla nauczycieli przygotowaliśmy również [lekcję konfiguracji programu nauczania](./lessons/0-course-setup/for-teachers.md)! - Jak [uruchomić kod w VSCode lub Codespace](./lessons/0-course-setup/how-to-run.md) -Wykonaj następujące kroki: +Postępuj według tych kroków: -Forkuj repozytorium: Kliknij przycisk "Fork" w prawym górnym rogu tej strony. +Sforkuj repozytorium: Kliknij przycisk "Fork" w prawym górnym rogu strony. -Sklonuj repozytorium: `git clone https://github.com/microsoft/AI-For-Beginners.git` +Sklonuj repozytorium: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Nie zapomnij dodać gwiazdki (🌟) temu repozytorium, aby łatwiej je znaleźć później. +Nie zapomnij dać gwiazdki (🌟) temu repozytorium, aby łatwiej je odnaleźć później. -## Poznaj innych uczących się +## Poznaj innych uczących się -Dołącz do naszego [oficjalnego serwera Discord AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), aby poznać i nawiązać kontakty 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 uczącymi się biorącymi udział w kursie oraz uzyskać wsparcie. -Jeśli masz opinie o produkcie 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 aplikacji, odwiedź nasz [Forum deweloperów Azure AI Foundry](https://aka.ms/foundry/forum) -## Quizy +## Quizy -> **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 quizową można uruchomić lokalnie lub wdrożyć na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Są one stopniowo lokalizowane. +> **Informacja o quizach:** Wszystkie quizy znajdują się w folderze quiz-app w etc\quiz-app, lub [online tutaj](https://ff-quizzes.netlify.app/). Są one powiązane z lekcjami, aplikację quizową można uruchomić lokalnie lub wdrożyć na Azure; postępuj zgodnie z instrukcjami w folderze `quiz-app`. Quizy są stopniowo lokalizowane. -## Potrzebujemy pomocy +## Szukamy pomocy -Masz sugestie albo znalazłeś błędy pisowni lub w kodzie? Zgłoś problem lub stwórz pull request. +Masz sugestie lub znalazłeś błędy ortograficzne albo w kodzie? Zgłoś problem lub utwórz pull request. -## Specjalne podziękowania +## Specjalne podziękowania * **✍️ Główny autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD * **🔥 Redaktor:** [Jen Looper](https://twitter.com/jenlooper), PhD -* **🎨 Ilustrator sketchnotów:** [Tomomi Imura](https://twitter.com/girlie_mac) +* **🎨 Ilustrator sketchnotek:** [Tomomi Imura](https://twitter.com/girlie_mac) * **✅ Twórca quizów:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/) * **🙏 Główni współtwórcy:** [Evgenii Pishchik](https://github.com/Pe4enIks) -## Inne programy nauczania +## Inne programy nauczania -Nasz zespół tworzy także inne programy nauczania! Sprawdź: +Nasz zespół tworzy również inne programy nauczania! Sprawdź: - -### LangChain -[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) -[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) + +### LangChain +[![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) +[![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) +[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin) +--- ---- +### Azure / Edge / MCP / Agenci +[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) +[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) -### Azure / Edge / MCP / Agenci -[![AZD for Beginners](https://img.shields.io/badge/AZD%20for%20Beginners-0078D4?style=for-the-badge&labelColor=E5E7EB&color=0078D4)](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Edge AI for Beginners](https://img.shields.io/badge/Edge%20AI%20for%20Beginners-00B8E4?style=for-the-badge&labelColor=E5E7EB&color=00B8E4)](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![MCP for Beginners](https://img.shields.io/badge/MCP%20for%20Beginners-009688?style=for-the-badge&labelColor=E5E7EB&color=009688)](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst) -[![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) +--- ---- - -### Seria Generatywnej AI -[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) -[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) -[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) -[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-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 +[![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) +[![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) +[![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) +[![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst) ---- - -### Podstawowa nauka -[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) -[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) -[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) -[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) -[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) -[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) -[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) +--- ---- - -### Seria Copilot -[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) -[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) -[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) - +### Podstawowe programy nauczania +[![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) +[![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) +[![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) +[![Cybersecurity for Beginners](https://img.shields.io/badge/Cybersecurity%20for%20Beginners-F97316?style=for-the-badge&labelColor=E5E7EB&color=F97316)](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung) +[![Web Dev for Beginners](https://img.shields.io/badge/Web%20Dev%20for%20Beginners-EC4899?style=for-the-badge&labelColor=E5E7EB&color=EC4899)](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst) +[![IoT for Beginners](https://img.shields.io/badge/IoT%20for%20Beginners-14B8A6?style=for-the-badge&labelColor=E5E7EB&color=14B8A6)](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst) +[![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) -## 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. +### Seria Copilot +[![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) +[![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) +[![Copilot Adventure](https://img.shields.io/badge/Copilot%20Adventure-FDE68A?style=for-the-badge&labelColor=E5E7EB&color=FDE68A)](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst) + -[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) +## Uzyskaj pomoc -Jeśli masz opinie o produkcie lub błędy podczas tworzenia, odwiedź: +Jeśli utkniesz lub masz pytania dotyczące tworzenia aplikacji AI, dołącz do innych uczących się oraz doświadczonych programistów w dyskusjach o MCP. To wspierająca społeczność, w której pytania są mile widziane, a wiedza jest dzielona swobodnie. + +[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) + +Jeśli masz uwagi dotyczące produktu lub błędy podczas tworzenia odwiedź: [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Wyłączenie odpowiedzialności**: -Niniejszy dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mimo że dokładamy starań, aby tłumaczenie było jak najbardziej precyzyjne, prosimy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym należy traktować jako źródło wiążące. W przypadku istotnych informacji zaleca się skorzystanie z profesjonalnego tłumaczenia wykonanego przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z korzystania z tego tłumaczenia. +**Zastrzeżenie**: +Niniejszy dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mimo że dokładamy starań, aby tłumaczenie było poprawne, prosimy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w języku źródłowym należy uważać za wiarygodne źródło. W przypadku informacji krytycznych zalecane jest skorzystanie z profesjonalnego tłumaczenia wykonanego przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z korzystania z tego tłumaczenia. \ No newline at end of file diff --git a/translations/tr/.co-op-translator.json b/translations/tr/.co-op-translator.json index 8650a355..824958b4 100644 --- a/translations/tr/.co-op-translator.json +++ b/translations/tr/.co-op-translator.json @@ -6,8 +6,8 @@ "language_code": "tr" }, "README.md": { - "original_hash": "1984fc89dd304a8a33ab5584691a99aa", - "translation_date": "2026-01-30T01:51:30+00:00", + "original_hash": "75fe3383afc51eaa84b82ace619ffea7", + "translation_date": "2026-02-06T08:13:46+00:00", "source_file": "README.md", "language_code": "tr" }, diff --git a/translations/tr/README.md b/translations/tr/README.md index 2e986ba4..5307c853 100644 --- a/translations/tr/README.md +++ b/translations/tr/README.md @@ -12,34 +12,33 @@ [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -# Yeni Başlayanlar İçin Yapay Zeka - Bir Müfredat +# Yeni Başlayanlar için Yapay Zeka - Bir Müfredat |![Sketchnote by @girlie_mac https://twitter.com/girlie_mac](../../translated_images/tr/ai-overview.0857791951d19500.webp)| |:---:| -| Yeni Başlayanlar İçin Yapay Zeka - _Sketchnote [@girlie_mac](https://twitter.com/girlie_mac) tarafından_ | +| Yapay Zeka Başlangıç - _[@girlie_mac](https://twitter.com/girlie_mac)_ tarafından Sketchnote | -**Yapay Zeka** (YZ) dünyasını 12 haftalık, 24 derslik müfredatımızla keşfedin! Pratik dersler, quizler ve laboratuvarlar içerir. Müfredat başlangıç seviyesi için uygundur ve TensorFlow, PyTorch gibi araçların yanı sıra YZ'deki etik konularını da kapsar. +12 haftalık, 24 derslik müfredatımız ile **Yapay Zeka** (YZ) dünyasını keşfedin! Pratik dersler, quizler ve laboratuvarlar içerir. Müfredat yeni başlayanlar için uygundur ve TensorFlow ile PyTorch gibi araçlar ile YZ etiği konularını kapsar. +### 🌐 Çok Dilde Destek -### 🌐 Çoklu Dil Desteği - -#### GitHub Action ile Desteklenmektedir (Otomatik ve Her Zaman Güncel) +#### GitHub Action ile Desteklenmektedir (Otomatik & Her Zaman Güncel) -[Arapça](../ar/README.md) | [Bengalce](../bn/README.md) | [Bulgarca](../bg/README.md) | [Burma Dili (Myanmar)](../my/README.md) | [Çince (Basitleştirilmiş)](../zh-CN/README.md) | [Çince (Geleneksel, Hong Kong)](../zh-HK/README.md) | [Çince (Geleneksel, Makao)](../zh-MO/README.md) | [Çince (Geleneksel, Tayvan)](../zh-TW/README.md) | [Hırvatça](../hr/README.md) | [Çekçe](../cs/README.md) | [Danca](../da/README.md) | [Felemenkçe](../nl/README.md) | [Estonca](../et/README.md) | [Fince](../fi/README.md) | [Fransızca](../fr/README.md) | [Almanca](../de/README.md) | [Yunanca](../el/README.md) | [İbranice](../he/README.md) | [Hintçe](../hi/README.md) | [Macarca](../hu/README.md) | [Endonezce](../id/README.md) | [İtalyanca](../it/README.md) | [Japonca](../ja/README.md) | [Kannada Dili](../kn/README.md) | [Korece](../ko/README.md) | [Litvanca](../lt/README.md) | [Malayca](../ms/README.md) | [Malayalam Dili](../ml/README.md) | [Marathi Dili](../mr/README.md) | [Nepalce](../ne/README.md) | [Nijerya Pidgin](../pcm/README.md) | [Norveççe](../no/README.md) | [Farsça (Persçe)](../fa/README.md) | [Lehçe](../pl/README.md) | [Portekizce (Brezilya)](../pt-BR/README.md) | [Portekizce (Portekiz)](../pt-PT/README.md) | [Pencapça (Gurmukhi)](../pa/README.md) | [Rumence](../ro/README.md) | [Rusça](../ru/README.md) | [Sırpça (Kiril Alfabesi)](../sr/README.md) | [Slovakça](../sk/README.md) | [Slovence](../sl/README.md) | [İspanyolca](../es/README.md) | [Svahili Dili](../sw/README.md) | [İsveççe](../sv/README.md) | [Tagalogca (Filipince)](../tl/README.md) | [Tamilce](../ta/README.md) | [Telugu Dili](../te/README.md) | [Tayca](../th/README.md) | [Türkçe](./README.md) | [Ukraynaca](../uk/README.md) | [Urduca](../ur/README.md) | [Vietnamca](../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) | [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 Klonlamayı Tercih Eder misiniz?** +> **Yerel olarak Kopyalamayı mı Tercih Ediyorsunuz?** -> Bu depo 50'den fazla dil çevirisini içerir, bu da indirme boyutunu önemli ölçüde artırır. Çeviriler olmadan klonlamak için seyrek checkout kullanın: +> Bu depo 50+ dil çevirisini içerir ve bu da indirme boyutunu önemli ölçüde artırır. Çevirisiz kopyalamak için seyrek checkout kullanın: > ```bash > git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git > cd AI-For-Beginners > git sparse-checkout set --no-cone '/*' '!translations' '!translated_images' > ``` -> Bu size kursu tamamlamak için ihtiyacınız olan her şeyi çok daha hızlı bir indirme ile sağlar. +> Bu, kursu tamamlamak için ihtiyacınız olan her şeyi çok daha hızlı indirmenizi sağlar. -**Ek çeviri dillerinin desteklenmesini isterseniz, desteklenenler [burada](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listelenmiştir** +**Ek dil çevirilerinin desteklenmesini istiyorsanız [buradaki](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) listede belirtilmiştir** ## Topluluğa Katılın [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) @@ -50,88 +49,88 @@ Bu müfredatta öğrenecekleriniz: -* **Bilgi Temsili** ve akıl yürütme içeren "eski iyi" sembolik yaklaşım dahil olmak üzere Yapay Zekaya farklı yaklaşımlar ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). -* Modern YZ'nin temelinde yer alan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuları, en popüler iki framework olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod örnekleri üzerinden açıklayacağız. -* Görüntü ve metinle çalışmak için **Sinirsel Mimariler**. Güncel modelleri kapsayacağız ancak en son teknolojide biraz eksik olabilir. -* Daha az yaygın olan yapay zeka yaklaşımları, örneğin **Genetik Algoritmalar** ve **Çok Ajanlı Sistemler**. +* "İyi eski" sembolik yaklaşım ile **Bilgi Temsili** ve akıl yürütme dahil olmak üzere Yapay Zekaya farklı yaklaşımlar ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)). +* Modern YZ'nin kalbinde olan **Sinir Ağları** ve **Derin Öğrenme**. Bu önemli konuları, en popüler iki framework olan [TensorFlow](http://Tensorflow.org) ve [PyTorch](http://pytorch.org) ile kod kullanarak açıklayacağız. +* Görüntü ve metinle çalışmak için **Sinir Mimarileri**. Güncel modelleri ele alacağız ancak en son teknoloji biraz eksik olabilir. +* Daha az popüler YZ yaklaşımları, örneğin **Genetik Algoritmalar** ve **Çoklu Ajan Sistemleri**. -Bu müfredatta kapsam dışında bırakılanlar: +Bu müfredatta ele alınmayacaklar: -> [Kurs için tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulun](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) +> [Bu kurs için tüm ek kaynakları Microsoft Learn koleksiyonumuzda bulun](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) -* **İş dünyasında YZ** kullanımına ilişkin iş vaka analizleri. Microsoft Learn'den [İş Kullanıcıları için YZ'ye Giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu ya da [YZ İş Okulu](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), [INSEAD](https://www.insead.edu/) işbirliği ile geliştirilmiş, inceleyebilirsiniz. -* Klasik makine öğrenmesi, [Makine Öğrenimi Yeni Başlayanlar Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) iyi anlatılmıştır. -* **[Bilişsel Hizmetler](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** kullanılarak inşa edilmiş pratik YZ uygulamaları. Bunun için Microsoft Learn modülleri arasında [görüntü işleme](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Hizmeti ile Üretken YZ](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** ve diğerlerini öneriyoruz. -* [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) gibi belirli Bulut ML Framework’leri. [Azure Machine Learning ile Makine Öğrenimi Çözümleri Kur ve İşlet](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 Kur ve İşlet](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) öğrenme yollarını kullanmayı düşünebilirsiniz. -* **Konuşma YZ'si** ve **Sohbet Botları**. Ayrı bir [Konuşma YZ Çözümleri Oluşturma](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolu vardır ve daha fazla detay için [bu blog yazısına](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) da bakabilirsiniz. -* Derin öğrenmenin ardındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville'nin yazdığı [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz, ayrıca çevrimiçi olarak [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) üzerinden ulaşabilirsiniz. +* **İş Dünyasında YZ** kullanımına dair iş senaryoları. Microsoft Learn'deki [İş kullanıcıları için YZ'ye Giriş](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu veya [YZ İş Okulu](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) programını inceleyebilirsiniz; bu program [INSEAD](https://www.insead.edu/) iş birliğiyle geliştirilmiştir. +* Klasik **Makine Öğrenmesi**, [Makine Öğrenmesi Başlangıç Müfredatımızda](http://github.com/Microsoft/ML-for-Beginners) iyi anlatılmıştır. +* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** ile inşa edilen pratik YZ uygulamaları. Bunun için Microsoft Learn'deki [görme](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [doğal dil işleme](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Azure OpenAI Hizmeti ile Üretken YZ](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** gibi modüllerle başlamanızı öneririz. +* Belirli ML **Bulut Çerçeveleri**, örneğin [Azure Machine Learning](https://azure.microsoft.com/services/machine-learning/?WT.mc_id=academic-77998-bethanycheum), [Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/?WT.mc_id=academic-77998-bethanycheum) veya [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). [Azure Machine Learning ile Makine Öğrenmesi Çözümleri Oluşturma ve İşletme](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) ve [Azure Databricks ile Makine Öğrenmesi Çözümleri Oluşturma ve İşletme](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) öğrenme yollarını değerlendirin. +* **Konuşma Tabanlı YZ** ve **Sohbet Botları**. Ayrı bir [Konuşma Tabanlı YZ Çözümleri Oluşturma](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolu var ve daha fazla detay için [bu blog gönderisine](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) bakabilirsiniz. +* Derin öğrenmenin arkasındaki **Derin Matematik**. Bunun için Ian Goodfellow, Yoshua Bengio ve Aaron Courville tarafından yazılmış olan ve ayrıca çevrimiçi erişilebilen [Derin Öğrenme](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) kitabını öneririz: [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/). -_Bulut üzerinde Yapay Zeka_ konularına nazik bir giriş için [Azure’da yapay zekaya başlangıç](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) öğrenme yolunu düşünebilirsiniz. +_Bulut'ta YZ'ye_ nazik bir giriş için [Azure üzerinde yapay zekayla başlama](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) Öğrenme Yolunu değerlendirebilirsiniz. # İçerik -| | Ders Bağlantısı | PyTorch/Keras/TensorFlow | Lab | +| | Ders Bağlantısı | PyTorch/Keras/TensorFlow | Laboratuvar | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 0 | [Kurs Kurulumu](./lessons/0-course-setup/setup.md) | [Geliştirme Ortamınızı Kurun](./lessons/0-course-setup/how-to-run.md) | | | I | [**YZ'ye Giriş**](./lessons/1-Intro/README.md) | | | -| 01 | [YZ'nin Girişi ve Tarihi](./lessons/1-Intro/README.md) | - | - | +| 01 | [YZ'nin Tarihi ve Girişi](./lessons/1-Intro/README.md) | - | - | | II | **Sembolik YZ** | | 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 | [Çerçeveye Giriş (PyTorch/TensorFlow) ve Aşırı Uydurma](./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 | [**Bilgisayarla Görü**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure'da Bilgisayarla Görüyü Keşfedin](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | -| 06 | [Bilgisayarla Görmeye Giriş. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Defter](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [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 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'lar](./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 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) | +| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Defter](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) | +| 04 | [Çok Katmanlı Perceptron ve Kendi Çerçevemizi Oluşturma](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Defter](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) | +| 05 | [Çerçevelere Giriş (PyTorch/TensorFlow) ve Overfitting](./lessons/3-NeuralNetworks/05-Frameworks/README.md) | [PyTorch](./lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) / [Keras](./lessons/3-NeuralNetworks/05-Frameworks/IntroKeras.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) | +| IV | [**Bilgisayarla Görü**](./lessons/4-ComputerVision/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) / [TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste)| [Microsoft Azure'da Bilgisayarla Görme Keşfi](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) | +| 06 | [Bilgisayarla Görmeye Giriş. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Defter](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) | +| 07 | [Konvolüsyonel Sinir Ağları](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN Mimarileri](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Lab](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) | +| 08 | [Önceden Eğitilmiş Ağlar ve Transfer Öğrenme](./lessons/4-ComputerVision/08-TransferLearning/README.md) ve [Eğitim Püf Noktaları](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Lab](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) | +| 09 | [Otoenkoderler ve VAE'ler](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | | +| 10 | [Üretici Rekabetçi Ağlar ve Sanatsal Stil Transferi](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | | +| 11 | [Nesne Algılama](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Lab](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) | | 12 | [Semantik Segmentasyon. U-Net](./lessons/4-ComputerVision/12-Segmentation/README.md) | [PyTorch](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb) | | -| V | [**Doğal Dil İşleme**](./lessons/5-NLP/README.md) | [PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) /[TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) | [Microsoft Azure'da Doğal Dil İşlemeyi Keşfedin](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 | [Anlamlı 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) | +| 14 | [Anlamsal kelime gömme. Word2Vec ve GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | | +| 15 | [Dil Modelleme. Kendi gömmelerinizi eğitmek](./lessons/5-NLP/15-LanguageModeling/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-PyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling/CBoW-TF.ipynb) | [Lab](./lessons/5-NLP/15-LanguageModeling/lab/README.md) | | 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) | +| 17 | [Üretici Tekrarlayan Ağlar](./lessons/5-NLP/17-GenerativeNetworks/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativePyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/GenerativeTF.ipynb) | [Lab](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) | | 18 | [Transformerlar. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | | -| 19 | [Adlandırılmış Varlık Tanıma](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratuvar](./lessons/5-NLP/19-NER/lab/README.md) | -| 20 | [Büyük Dil Modelleri, İpucu Programlama ve Az Sayıda Örnek Görevler](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | +| 19 | [Adlandırılmış Varlık Tanıma](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Lab](./lessons/5-NLP/19-NER/lab/README.md) | +| 20 | [Büyük Dil Modelleri, İpucu Programlama ve Az-Veri Görevleri](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | | | VI | **Diğer AI Teknikleri** || | | 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 | [Çoklu Ajan Sistemleri](./lessons/6-Other/23-MultiagentSystems/README.md) | | | -| VII | **AI Etikleri** | | | -| 24 | [AI Etikleri 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) | | +| 22 | [Derin Takviyeli Öğrenme](./lessons/6-Other/22-DeepRL/README.md) | [PyTorch](./lessons/6-Other/22-DeepRL/CartPole-RL-PyTorch.ipynb) /[TensorFlow](./lessons/6-Other/22-DeepRL/CartPole-RL-TF.ipynb) | [Lab](./lessons/6-Other/22-DeepRL/lab/README.md) | +| 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 -* Çoğunlukla belirli bir çerçeveye özgü (**PyTorch** veya **TensorFlow**) yürütülebilir Jupyter Defterleri. Yürütülebilir defter aynı zamanda bol miktarda teorik materyal içerir, bu yüzden konuyu anlamak için defterin en az bir versiyonunu (PyTorch veya TensorFlow) incelemeniz gerekir. -* Öğrendiğiniz materyali belirli bir probleme uygulama fırsatı veren bazı konular için mevcut **Laboratuvarlar**. -* Bazı bölümler, ilgili konuları kapsayan [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modüllerine bağlantılar içerir. +* Çoğunlukla belirli çerçeveye (**PyTorch** veya **TensorFlow**) özel çalıştırılabilir Jupyter Defterleri. Çalıştırılabilir defter ayrıca çok fazla teorik materyal içerir, bu yüzden konuyu anlamak için defterin en az bir sürümünü (PyTorch veya TensorFlow) incelemeniz gerekir. +* Bazı konular için deneyim kazanmanızı sağlayan **Laboratuvarlar**, öğrendiğiniz materyali belirli bir probleme uygulama fırsatı sunar. +* Bazı bölümlerde ilgili konuları kapsayan [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) modüllerine bağlantılar bulunmaktadır. ## Başlarken -### 🎯 Yapay Zekaya Yeni misiniz? Buradan Başlayın! +### 🎯 AI'da yenisin? Buradan başla! -Yapay Zeka konusunda tamamen yeniyse ve hızlı, uygulamalı örnekler istiyorsanız, [**Yeni Başlayanlar için Dostane Örnekler**](./examples/README.md) sayfamıza göz atın! Bunlar şunları içerir: +AI'da tamamen yenisen ve hızlı, uygulamalı örnekler arıyorsan, [**Yeni Başlayan Dostu Örneklerimiz**](./examples/README.md) tam sana göre! Bunlar şunları içerir: -- 🌟 **Merhaba AI Dünyası** - İlk AI programınız (desen tanıma) -- 🧠 **Basit Sinir Ağı** - Baştan bir sinir ağı inşa edin +- 🌟 **Merhaba AI Dünyası** - İlk AI programın (desen tanıma) +- 🧠 **Basit Sinir Ağı** - Baştan bir sinir ağı inşa et -- 🖼️ **Görüntü Sınıflandırıcı** - Detaylı yorumlarla görüntüleri sınıflandırın -- 💬 **Metin Duygu Analizi** - Pozitif/negatif metni analiz edin +- 🖼️ **Resim Sınıflandırıcı** - Resimleri ayrıntılı yorumlarla sınıflandırın +- 💬 **Metin Duygusu** - Pozitif/negatif metni analiz edin -Bu örnekler, tam müfredata başlamadan önce yapay zeka kavramlarını anlamanıza yardımcı olacak şekilde tasarlanmıştır. +Bu örnekler, tam müfredata geçmeden önce yapay zeka 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. - Eğitimciler için de bir [müfredat kurulum dersi](./lessons/0-course-setup/for-teachers.md) hazırladık! -- Kodun [VSCode veya Codespace'te nasıl çalıştırılacağı](./lessons/0-course-setup/how-to-run.md) +- Geliştirme ortamınızı kurmanıza yardımcı olması için bir [kurulum dersi](./lessons/0-course-setup/setup.md) oluşturduk. - Eğitimciler için de bir [müfredat kurulumu dersi](./lessons/0-course-setup/for-teachers.md) hazırladık! +- [VSCode veya Codespace'de kodun nasıl çalıştırılacağı](./lessons/0-course-setup/how-to-run.md) Bu adımları izleyin: @@ -139,39 +138,39 @@ Depoyu Forklayın: Bu sayfanın sağ üst köşesindeki "Fork" düğmesine tıkl Depoyu Klonlayın: `git clone https://github.com/microsoft/AI-For-Beginners.git` -Projeyi daha sonra kolayca bulmak için bu repoya yıldız (🌟) vermeyi unutmayın. +Daha sonra kolayca bulabilmek için bu depoya yıldız (🌟) vermeyi unutmayın. -## Diğer Öğrenenlerle Tanışın +## Diğer Öğrencilerle Tanışın -Bu kursu alan diğer öğrenenlerle tanışmak ve destek almak için [resmi AI Discord sunucumuza](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) katılın. +Bu kursu alan diğer öğrencilerle tanışmak, ağ oluşturmak ve destek almak için [resmi AI Discord sunucumuza](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) katılın. -Ürün geri bildiriminiz veya sorularınız varsa, inşa ederken [Azure AI Foundry Geliştirici Forumu](https://aka.ms/foundry/forum) ziyaret edin. +Ürün geri bildirimi veya sorularınız varsa, inşa sırasında [Azure AI Foundry Geliştirici Forumu](https://aka.ms/foundry/forum)'nu ziyaret edin. -## Sınavlar +## Quizler -> **Sınavlarla ilgili bir not**: Tüm sınavlar etc\quiz-app içindeki Quiz-app klasöründe veya [Çevrimiçi Burada](https://ff-quizzes.netlify.app/) bulunmaktadır. Derslerden bağlantı verilmiştir, quiz uygulaması yerel olarak çalıştırılabilir veya Azure’a dağıtılabilir; talimatlar `quiz-app` klasöründedir. Kademeli olarak yerelleştirilmektedir. +> **Quizler hakkında bir not**: Tüm quizler etc\quiz-app klasöründeki Quiz-app klasöründe bulunur veya [Çevrimiçi Burada](https://ff-quizzes.netlify.app/) mevcuttur. Quiz uygulaması derslerin içinden bağlantılıdır ve yerel olarak çalıştırılabilir veya Azure'a dağıtılabilir; `quiz-app` klasöründeki talimatları izleyin. Quizler kademeli olarak yerelleştirilmektedir. ## Yardım İsteniyor -Önerileriniz veya yazım ya da kod hataları buldunuz mu? Bir issue açın veya pull request oluşturun. +Önerileriniz var mı veya yazım ya da kod hataları buldunuz mu? Bir sorun açın veya bir pull request oluşturun. ## Özel Teşekkürler -* **✍️ Ana Yazar:** [Dmitry Soshnikov](http://soshnikov.com), PhD +* **✍️ 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) +* **🙏 Temel Katkıda Bulunanlar:** [Evgenii Pishchik](https://github.com/Pe4enIks) ## Diğer Müfredatlar -Ekibimiz başka müfredatlar da üretiyor! Göz atın: +Ekibimiz diğer müfredatlar da üretiyor! İnceleyin: ### LangChain [![LangChain4j for Beginners](https://img.shields.io/badge/LangChain4j%20for%20Beginners-22C55E?style=for-the-badge&&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchain4j-for-beginners) [![LangChain.js for Beginners](https://img.shields.io/badge/LangChain.js%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin) - +[![LangChain for Beginners](https://img.shields.io/badge/LangChain%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=0553D6)](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin) --- ### Azure / Edge / MCP / Agents @@ -181,16 +180,16 @@ Ekibimiz başka müfredatlar da üretiyor! Göz atın: [![AI Agents for Beginners](https://img.shields.io/badge/AI%20Agents%20for%20Beginners-00C49A?style=for-the-badge&labelColor=E5E7EB&color=00C49A)](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst) --- - -### Üretken AI Serisi + +### Jeneratif AI Serisi [![Generative AI for Beginners](https://img.shields.io/badge/Generative%20AI%20for%20Beginners-8B5CF6?style=for-the-badge&labelColor=E5E7EB&color=8B5CF6)](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst) [![Generative AI (.NET)](https://img.shields.io/badge/Generative%20AI%20(.NET)-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst) [![Generative AI (Java)](https://img.shields.io/badge/Generative%20AI%20(Java)-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst) [![Generative AI (JavaScript)](https://img.shields.io/badge/Generative%20AI%20(JavaScript)-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 + +### Temel Öğrenim [![ML for Beginners](https://img.shields.io/badge/ML%20for%20Beginners-22C55E?style=for-the-badge&labelColor=E5E7EB&color=22C55E)](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst) [![Data Science for Beginners](https://img.shields.io/badge/Data%20Science%20for%20Beginners-84CC16?style=for-the-badge&labelColor=E5E7EB&color=84CC16)](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst) [![AI for Beginners](https://img.shields.io/badge/AI%20for%20Beginners-A3E635?style=for-the-badge&labelColor=E5E7EB&color=A3E635)](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst) @@ -200,7 +199,7 @@ Ekibimiz başka müfredatlar da üretiyor! Göz atın: [![XR Development for Beginners](https://img.shields.io/badge/XR%20Development%20for%20Beginners-38BDF8?style=for-the-badge&labelColor=E5E7EB&color=38BDF8)](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst) --- - + ### Copilot Serisi [![Copilot for AI Paired Programming](https://img.shields.io/badge/Copilot%20for%20AI%20Paired%20Programming-FACC15?style=for-the-badge&labelColor=E5E7EB&color=FACC15)](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst) [![Copilot for C#/.NET](https://img.shields.io/badge/Copilot%20for%20C%23/.NET-FBBF24?style=for-the-badge&labelColor=E5E7EB&color=FBBF24)](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst) @@ -209,17 +208,17 @@ Ekibimiz başka müfredatlar da üretiyor! Göz atın: ## Yardım Alma -Yapay zeka uygulamaları geliştirirken takılırsanız veya sorularınız olursa. MCP hakkında deneyimli geliştiriciler ve diğer öğrenenlerle tartışmalara katılın. Burası soruların hoş karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur. +Yapay zeka uygulamaları geliştirmeyle ilgili takılırsanız veya sorularınız olursa, MCP hakkında tartışmalar için diğer öğrenciler ve deneyimli geliştiricilerle buluşun. Soruların karşılandığı ve bilginin özgürce paylaşıldığı destekleyici bir topluluktur. [![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG) -Ürün geri bildiriminiz veya oluşan hatalarda: +Ürün geri bildiriminiz veya geliştirme sırasında karşılaştığınız hatalar varsa ziyaret edin: -[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) ziyaret edin. +[![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum) --- -**Feragatname**: -Bu belge, AI çeviri hizmeti [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba göstersek de, otomatik çevirilerin hata veya yanlışlık içerebileceğini lütfen unutmayınız. Orijinal belge, kendi dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımından kaynaklanan yanlış anlamalar veya yanlış yorumlamalardan dolayı sorumluluk kabul edilmemektedir. +**Feragatname**: +Bu belge, AI çeviri servisi [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba gösterilse de, otomatik çevirilerde hatalar veya yanlışlıklar olabileceğini lütfen unutmayın. Orijinal belge, kendi dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımı sonucu oluşabilecek yanlış anlamalar veya yorum farklılıkları nedeniyle herhangi bir sorumluluk kabul edilmemektedir. \ No newline at end of file