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@ -12,126 +12,126 @@
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[](https://discord.gg/nTYy5BXMWG)
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# Umjetna inteligencija za početnike - Kurikulum
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# Umjetna Inteligencija za Početnike - Nastavni Plan
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|:---:|
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| AI za početnike - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
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| AI For Beginners - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
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Istražite svijet **Umjetne inteligencije** (UI) s našim 12-tjednim, 24-lekcijskim kurikulumom! Uključuje praktične lekcije, kvizove i laboratorijske vježbe. Kurikulum je prilagođen početnicima i pokriva alate poput TensorFlowa i PyTorcha, kao i etiku u UI
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Istražite svijet **Umjetne Inteligencije** (UI) uz naš 12-tjedni program s 24 lekcije! Uključuje praktične lekcije, kvizove i laboratorijske vježbe. Nastavni plan je prilagođen početnicima i pokriva alate poput TensorFlow i PyTorch, kao i etiku u UI
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### 🌐 Podrška za više jezika
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### 🌐 Podrška za Više Jezika
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#### Podržano preko GitHub Action (Automatski i uvijek ažurno)
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#### Podržano putem GitHub Action (Automatski i Uvijek Ažurirano)
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
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[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](./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](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
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> **Preferirate klonirati lokalno?**
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> **Radije Klonirati Lokalno?**
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> Ovaj repozitorij sadrži više od 50 prijevoda jezika što značajno povećava veličinu preuzimanja. Za kloniranje bez prijevoda, koristite sparse checkout:
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> Ovaj repozitorij uključuje 50+ prijevoda jezika što značajno povećava veličinu preuzimanja. Za kloniranje bez prijevoda, koristite sparse checkout:
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> ```bash
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> git clone --filter=blob:none --sparse https://github.com/microsoft/AI-For-Beginners.git
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> cd AI-For-Beginners
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> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
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> ```
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> Ovo vam daje sve što vam treba za završetak tečaja s mnogo bržim preuzimanjem.
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> Ovo vam daje sve što je potrebno za završetak tečaja s mnogo bržim preuzimanjem.
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<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
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**Ako želite dodatnu podršku za prevode, podržani jezici su navedeni [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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**Ako želite da se podrže dodatni jezici prijevoda, oni su navedeni [ovdje](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
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## Pridružite se zajednici
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## Pridružite se Zajednici
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[](https://discord.gg/nTYy5BXMWG)
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## Što ćete naučiti
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**[Mapa uma tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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**[Mindmap tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
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U ovom kurikulumu naučit ćete:
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U ovom nastavnom programu naučit ćete:
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* Različite pristupe umjetnoj inteligenciji, uključujući "dobar stari" simbolički pristup s **reprezentacijom znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **Neuronske mreže** i **Duboko učenje**, koji su u središtu moderne UI. Koncepte iza ovih važnih tema prikazat ćemo pomoću koda u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
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* **Neuronske arhitekture** za rad sa slikama i tekstom. Pokrit ćemo nedavne modele, iako možda neće biti u potpunosti u vrhu suvremenih dostignuća.
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* Manje popularne pristupe u UI, poput **genetskih algoritama** i **višekorisničkih sustava**.
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* Različite pristupe umjetnoj inteligenciji, uključujući "dobri stari" simbolički pristup sa **predstavljanjem znanja** i zaključivanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
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* **Neuronske mreže** i **duboko učenje**, koje su u srži moderne UI. Koncepte ovih važnih tema ćemo ilustrirati koristeći kod u dva najpopularnija okvira - [TensorFlow](http://Tensorflow.org) i [PyTorch](http://pytorch.org).
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* **Neuronske arhitekture** za rad sa slikama i tekstom. Pokrit ćemo nedavne modele, ali možda ćemo biti nešto slabiji u stanju umjetnosti.
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* Manje popularne pristupe UI, kao što su **genetski algoritmi** i **sustavi s više agenata**.
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Što nećemo pokriti u ovom kurikulumu:
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Šta nećemo pokrivati u ovom nastavnom programu:
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> [Pronađite sve dodatne resurse za ovaj tečaj u našoj Microsoft Learn kolekciji](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
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* Poslovne slučajeve korištenja **UI u poslovanju**. Razmotrite polaganje [Uvod u UI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) putem Microsoft Learn ili [AI poslovnu školu](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijenu u suradnji s [INSEAD](https://www.insead.edu/).
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* **Klasično strojno učenje**, koje je dobro opisano u našem [Kurikulumu strojnog učenja za početnike](http://github.com/Microsoft/ML-for-Beginners).
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* Praktične AI aplikacije izgrađene koristeći **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za njih preporučujemo da započnete s modulima Microsoft Learn za [vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obradu prirodnog jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativnu umjetnu inteligenciju uz Azure OpenAI uslugu](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i druge.
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* Specifične ML **cloud okvire**, kao što su [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) ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o korištenju [Gradite i upravljajte ML rješenjima uz Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Gradite i upravljajte ML rješenjima s Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) učnih staza.
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* **Konverzacijski UI** i **chat botovi**. Postoji zasebna [Staza za stvaranje konverzacijskih AI rješenja](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), a možete pogledati i [ovaj blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za dodatne detalje.
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* **Duboku matematiku** iza dubokog učenja. Za to preporučujemo [Duboko učenje](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autora Ian Goodfellow, Yoshua Bengio i Aaron Courville, koja je također dostupna online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
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* Poslovni slučajevi korištenja **UI u poslovanju**. Razmotrite pohađanje [Uvod u UI za poslovne korisnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) puteva učenja na Microsoft Learn, ili [AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvijen u suradnji s [INSEAD](https://www.insead.edu/).
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* **Klasično strojarstvo učenja**, koje je dobro opisano u našem [Nastavnom planu strojarskog učenja za početnike](http://github.com/Microsoft/ML-for-Beginners).
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* Praktične AI aplikacije izrađene koristeći **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to preporučujemo da započnete s modulima Microsoft Learn za [viziju](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obradu prirodnog jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[Generativnu umjetnu inteligenciju s Azure OpenAI servisom](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** i druge.
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* Specifične ML **Cloud Framework**-ove, kao što su [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), ili [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o korištenju [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) i [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) puteva učenja.
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* **Konverzacijska UI** i **Chat Botovi**. Postoji zasebni [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) put učenja, a možete također pogledati [ovaj blog post](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za detaljnije informacije.
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* **Duboku matematiku** iza dubokog učenja. Za to preporučujemo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) autora Iana Goodfellowa, Yoshue Bengioa i Aarona Courvillea, koji je također dostupan online na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
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Za lagani uvod u teme _UI u oblaku_ možete razmotriti polaganje [Započinjemo s umjetnom inteligencijom na Azureu](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) učne staze.
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Za blagi uvod u teme _UI u oblaku_ možda biste razmotrili i pohađanje [Get started with artificial intelligence on Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) puta učenja.
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# Sadržaj
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| | Poveznica lekcije | PyTorch/Keras/TensorFlow | Laboratorij |
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| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
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| 0 | [Postavljanje kursa](./lessons/0-course-setup/setup.md) | [Postavite svoje razvojno okruženje](./lessons/0-course-setup/how-to-run.md) | |
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| | Link Lekcije | PyTorch/Keras/TensorFlow | Laboratorij |
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| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | -------------------------------------------------------- |
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| 0 | [Postavljanje Tečaja](./lessons/0-course-setup/setup.md) | [Postavite Vaše Razvojno Okruženje](./lessons/0-course-setup/how-to-run.md) | |
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| I | [**Uvod u UI**](./lessons/1-Intro/README.md) | | |
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| 01 | [Uvod i povijest UI](./lessons/1-Intro/README.md) | - | - |
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| 01 | [Uvod i Povijest UI](./lessons/1-Intro/README.md) | - | - |
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| II | **Simbolička UI** |
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| 02 | [Reprezentacija znanja i ekspertni sustavi](./lessons/2-Symbolic/README.md) | [Ekspertni sustavi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf koncepata](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
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| 02 | [Predstavljanje Znanja i Ekspertni Sustavi](./lessons/2-Symbolic/README.md) | [Ekspertni Sustavi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptualni Graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
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| III | [**Uvod u neuronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
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| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
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| 04 | [Višeslojni perceptron i stvaranje vlastitog okvira](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
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| 05 | [Uvod u okvire (PyTorch/TensorFlow) i prenaučenost](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
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| IV | [**Računalni vid**](./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) | [Istražite računalni vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
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| 04 | [Višeslojni perceptron i izrada vlastitog okvira](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Bilježnica](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
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| 05 | [Uvod u okvire (PyTorch/TensorFlow) i prekomjerno učenje](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
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| IV | [**Računalni vid**](./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)| [Istražite računalni vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
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| 06 | [Uvod u računalni vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Bilježnica](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
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| 07 | [Konvolucijske neuronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitekture 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) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
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| 08 | [Unaprijed trenirane mreže i transfer učenja](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [Trikovi u treniranju](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
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| 09 | [Autoenkoderi i VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
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| 10 | [Generativne suparničke mreže i prijenos umjetničkog stila](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 07 | [Konvolucijske neuronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN arhitekture](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Unaprijed naučene mreže i prijenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) i [Trikovi za treniranje](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Automatski koderi i VAEs](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generativne adversarijalne mreže i umjetnički prijenos stila](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Detekcija objekata](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantička segmentacija. 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 | [**Obrada prirodnog jezika**](./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) | [Istražite obradu prirodnog jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Predstavljanje teksta. 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 | [Semantičke riječne ugrađenosti. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modeliranje jezika. Treniranje vlastitih ugrađenosti](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 14 | [Semantičke vektorske reprezentacije riječi. Word2Vec i GloVe](./lessons/5-NLP/14-Embeddings/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb) / [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb) | |
|
||||
| 15 | [Modeliranje jezika. Treniranje vlastitih vektorskih reprezentacija](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurentne neuronske mreže](./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 | [Generativne rekurentne mreže](./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) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformeri. 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 | [Prepoznavanje imenovanih entiteta](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Veliki jezični modeli, programiranje upita i zadaci s malo primjera](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 20 | [Veliki jezični modeli, programiranje promptova i zadaci s malo primjera](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Ostale AI tehnike** || |
|
||||
| 21 | [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Bilježnica](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Duboko učenje s potkrepljenjem](./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) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 22 | [Duboko učenje potkrepljeno](./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) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sustavi s više agenata](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI etika** | | |
|
||||
| 24 | [AI etika i odgovorni AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovornog AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Dodatno** | | |
|
||||
| VII | **Etika umjetne inteligencije** | | |
|
||||
| 24 | [Etika umjetne inteligencije i odgovorna umjetna inteligencija](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovorne umjetne inteligencije](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Dodatci** | | |
|
||||
| 25 | [Višemodalne mreže, CLIP i VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Bilježnica](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Svaka lekcija sadrži
|
||||
|
||||
* Materijal za predčitanje
|
||||
* Izvršne Jupyter bilježnice, koje su često specifične za okvir (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži mnogo teorijskog materijala, stoga za razumijevanje teme morate proći barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow).
|
||||
* **Laboratorije** dostupne za neke teme, koje vam daju priliku da isprobate primjenu naučenog materijala na određenom problemu.
|
||||
* Izvršne Jupyter bilježnice, koje su često specifične za okvir (**PyTorch** ili **TensorFlow**). Izvršna bilježnica također sadrži mnogo teorijskog materijala, pa kako biste razumjeli temu, potrebno je proći barem jednu verziju bilježnice (bilo PyTorch ili TensorFlow).
|
||||
* **Laboratorije** dostupne za neke teme, koje vam daju priliku da pokušate primijeniti naučeno na konkretan problem.
|
||||
* Neki odjeljci sadrže poveznice na module [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) koji pokrivaju povezane teme.
|
||||
|
||||
## Početak
|
||||
## Početak rada
|
||||
|
||||
### 🎯 Novi u AI? Počnite ovdje!
|
||||
### 🎯 Novi u AI? Započni ovdje!
|
||||
|
||||
Ako ste potpuno novi u AI i želite brze, praktične primjere, pogledajte naše [**Primjere prilagođene početnicima**](./examples/README.md)! Oni uključuju:
|
||||
Ako ste potpuno novi u umjetnoj inteligenciji i želite brze, praktične primjere, pogledajte naše [**Primjere prilagođene početnicima**](./examples/README.md)! Oni uključuju:
|
||||
|
||||
- 🌟 **Hello AI World** - Vaš prvi AI program (prepoznavanje uzoraka)
|
||||
- 🧠 **Jednostavna neuronska mreža** - Izgradite neuronsku mrežu od nule
|
||||
- 🌟 **Pozdrav svijete AI** - Vaš prvi AI program (prepoznavanje uzoraka)
|
||||
- 🧠 **Jednostavna neuronska mreža** - Izgradnja neuronske mreže ispočetka
|
||||
|
||||
- 🖼️ **Klasifikator slika** - Klasificirajte slike s detaljnim komentarima
|
||||
- 💬 **Sentiment teksta** - Analizirajte pozitivan/negativan tekst
|
||||
- 🖼️ **Klasifikator slika** - Klasificirajte slike s detaljnim komentarima
|
||||
- 💬 **Sentiment teksta** - Analizirajte pozitivan/negativan tekst
|
||||
|
||||
Ovi primjeri osmišljeni su da vam pomognu razumjeti AI koncepte prije nego što započnete s cjelokupnim kurikulumom.
|
||||
Ovi primjeri su dizajnirani da vam pomognu razumjeti AI koncepte prije nego što započnete s cjelokupnim kurikulumom.
|
||||
|
||||
### 📚 Postavljanje cjelokupnog kurikuluma
|
||||
|
||||
- Izradili smo [lekciju za postavljanje](./lessons/0-course-setup/setup.md) koja će vam pomoći pri postavljanju razvojnog okruženja. - Za nastavnike smo također izradili [lekciju za postavljanje kurikuluma](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Kako [pokrenuti kod u VSCode ili Codespaceu](./lessons/0-course-setup/how-to-run.md)
|
||||
- Kreirali smo [lekciju za postavljanje](./lessons/0-course-setup/setup.md) kako bismo vam pomogli s postavljanjem razvojne okoline. - Za nastavnike smo također kreirali [lekciju za postavljanje kurikuluma](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Kako [pokrenuti kod u VSCode ili Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Slijedite ove korake:
|
||||
|
||||
|
|
@ -139,87 +139,87 @@ Forkajte repozitorij: Kliknite na gumb "Fork" u gornjem desnom kutu ove stranice
|
|||
|
||||
Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Ne zaboravite označiti (🌟) ovaj repo da biste ga lakše pronašli kasnije.
|
||||
Ne zaboravite dodati zvjezdicu (🌟) ovom repozitoriju da biste ga lakše pronašli kasnije.
|
||||
|
||||
## Upoznajte druge polaznike
|
||||
## Upoznajte druge učenike
|
||||
|
||||
Pridružite se našem [službenom AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kako biste upoznali i povezali se s drugim polaznicima ovog tečaja i dobili podršku.
|
||||
Pridružite se našem [službenom AI Discord serveru](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) kako biste upoznali i umrežili se s drugim polaznicima ovog tečaja i dobili podršku.
|
||||
|
||||
Ako imate povratne informacije o proizvodu ili pitanja tijekom izrade, posjetite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
Ako imate povratne informacije o proizvodu ili pitanja tijekom izrade, posjetite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum).
|
||||
|
||||
## Kvizevi
|
||||
## Kvizovi
|
||||
|
||||
> **Napomena o kvizovima**: Svi kvizovi nalaze se u mapi Quiz-app u etc\quiz-app, ili [online ovdje](https://ff-quizzes.netlify.app/) Povezani su kroz lekcije; aplikaciju kviza možete pokrenuti lokalno ili je distribuirati na Azure; slijedite upute u mapi `quiz-app`. Postupno se lokaliziraju.
|
||||
> **Napomena o kvizovima**: Svi kvizovi se nalaze u mapi Quiz-app u etc\quiz-app, ili [online ovdje](https://ff-quizzes.netlify.app/). Povezani su iz same lekcije, a aplikaciju za kvizove možete pokretati lokalno ili implementirati na Azure; slijedite upute u mapi `quiz-app`. Kvizovi se postupno lokaliziraju.
|
||||
|
||||
## Traži se pomoć
|
||||
## Potreban je pomoć
|
||||
|
||||
Imate li prijedloge ili ste pronašli pravopisne ili programske pogreške? Otvorite issue ili napravite pull request.
|
||||
|
||||
## Posebna zahvalnost
|
||||
## Posebna zahvala
|
||||
|
||||
* **✍️ Glavni autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator sketchnote bilješki:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Kreator kvizova:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Glavni suradnici:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **✍️ Glavni autor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator sketchnote:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Kreator kviza:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Glavni suradnici:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Ostali kurikulumi
|
||||
|
||||
Naš tim proizvodi i druge kurikulume! Pogledajte:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agent
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serija Generativnog AI-a
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
### Serija Generative AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Osnovno učenje
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
### Osnovno učenje
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serija Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
### Copilot serija
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Dobivanje pomoći
|
||||
|
||||
Ako zapnete ili imate pitanja o izradi AI aplikacija, pridružite se kolegama polaznicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica u kojoj su pitanja dobrodošla i znanje se slobodno dijeli.
|
||||
Ako zapnete ili imate pitanja u vezi izrade AI aplikacija. Pridružite se drugim polaznicima i iskusnim programerima u raspravama o MCP-u. To je podržavajuća zajednica gdje su pitanja dobrodošla i znanje se slobodno dijeli.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Ako imate povratne informacije o proizvodu ili primijetite pogreške tijekom izrade, posjetite:
|
||||
Ako imate povratne informacije o proizvodu ili pogreške tijekom izrade, posjetite:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Odricanje od odgovornosti**:
|
||||
Ovaj dokument je preveden pomoću AI usluge za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako nastojimo osigurati točnost, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku smatra se službenim i autoritativnim izvorom. Za važne informacije preporučuje se profesionalni ljudski prijevod. Ne snosimo odgovornost za bilo kakve nesporazume ili pogrešna tumačenja proizašla iz korištenja ovog prijevoda.
|
||||
**Napomena**:
|
||||
Ovaj dokument preveden je pomoću AI prevoditeljske usluge [Co-op Translator](https://github.com/Azure/co-op-translator). Iako nastojimo osigurati točnost, molimo imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na njegovom izvornom jeziku smatra se službenim izvorom. Za kritične informacije preporuča se profesionalni ljudski prijevod. Ne snosimo odgovornost za bilo kakva nesporazuma ili pogrešna tumačenja nastala korištenjem ovog prijevoda.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -6,8 +6,8 @@
|
|||
"language_code": "my"
|
||||
},
|
||||
"README.md": {
|
||||
"original_hash": "1984fc89dd304a8a33ab5584691a99aa",
|
||||
"translation_date": "2026-01-30T02:44:01+00:00",
|
||||
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
|
||||
"translation_date": "2026-02-06T09:18:20+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "my"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -12,168 +12,166 @@
|
|||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
# လူသစ်များအတွက် အတုယူစက်ရုပ် - ပညာသင်အစီအစဉ်
|
||||
# ကလေ့လာသူများအတွက် အနှစ်သာရ ဒစ်ဂျစ်တယ် ဉာဏ်ရည်
|
||||
|
||||
||
|
||||
|:---:|
|
||||
| လူသစ်များအတွက် AI - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| ကလေ့လာသူများအတွက် အနှစ်သာရ ဒစ်ဂျစ်တယ် ဉာဏ်ရည် - _Sketchnote by [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
**အတုယူစက်ရုပ်** (AI) ၏ ကမ္ဘာကြီးကို ကျွန်ုပ်တို့၏ ၁၂ ပတ်၊ ၂၄ သင်ခန်းစာ ပညာသင်အစီအစဉ်ဖြင့် စူးစမ်းလေ့လာပါ! ၎င်းတွင် လက်တွေ့သင်ခန်းစာများ၊ စမ်းသပ်မေးခွန်းများနှင့် ပရိုဇက်များ ပါဝင်သည်။ ဒီအစီအစဉ်သည် လူသစ်များအတွက် လွယ်ကူစွာနားလည်နိုင်ပြီး TensorFlow နှင့် PyTorch ကဲ့သို့သော ကိရိယာများနှင့် AI တွင် ရိုးသားမှုအချက်များကိုလည်း ပါဝင်ပါသည်။
|
||||
**အတတ်ပညာရေး သင်တန်း၊ စကယ်တင် ၂၄ ခန်းခွဲ၊ ၁၂ ပတ်ကြာသည့် အစီအစဉ်**ဖြင့် **အတုယူသော ဉာဏ်ရည်** (AI) ၏ ကမ္ဘာကြီးကို ရှာဖွေလေ့လာပါ! ၎င်းတွင် လက်တွေ့သင်ခန်းစာများ၊ စစ်ဆေးမှုများ နှင့် လက်တွေ့လေ့ကျင့်ခန်းများ ပါဝင်ပါသည်။ သင်တန်းအစီအစဉ်သည် စတင်သူများအတွက် သင့်လျော်ပြီး TensorFlow နှင့် PyTorch ကဲ့သို့သော တူတူ ပရိုဂရမ်များကိုပါ ပါဝင်သည်၊ ထို့အပြင် AI အတွင်း ပြည့်ပေးသည့် တရားထောင်ရေးကဏ္ဍများပါ ပါဝင်သည်။
|
||||
|
||||
|
||||
### 🌐 ဘာသာစကားစုံအထောက်အပံ့
|
||||
### 🌐 ဘာသာစကားစုံထောက်ပံ့မှု
|
||||
|
||||
#### GitHub Action မှတဆင့်ထောက်ပံ့ထားသည် (အလိုအလျောက် နှင့် အမြဲနောက်ဆုံးဗားရှင်း)
|
||||
#### GitHub Action ဖြင့် ထောက်ပံ့ထားသည် ( အလိုအလျောက် နှင့် အမြဲ အသစ်)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[အာရဗီ](../ar/README.md) | [ဘင်္ဂါလီ](../bn/README.md) | [ဘူල්ဂေးရီးယား](../bg/README.md) | [မြန်မာ](./README.md) | [တရုတ် (ရိုးရိုး)](../zh-CN/README.md) | [တရုတ် (ရိုးရိုး, ဟောင်ကောင်)](../zh-HK/README.md) | [တရုတ် (ရိုးရိုး, မကာဝူ)](../zh-MO/README.md) | [တရုတ် (ရိုးရိုး, တိုင်ဝမ်)](../zh-TW/README.md) | [ခရို့ရှီးယား](../hr/README.md) | [ချက်](../cs/README.md) | [ဒိန်းမားခ်](../da/README.md) | [ဒါချ်](../nl/README.md) | [အက်စတိုနီးယား](../et/README.md) | [ဖင်နစ်](../fi/README.md) | [ပြင်သစ်](../fr/README.md) | [ဂျာမနီ](../de/README.md) | [ဂရိ](../el/README.md) | [ဟေဘရွူး](../he/README.md) | [ဟိန္ဒီ](../hi/README.md) | [ဟန်ဂေရီ](../hu/README.md) | [အင်ဒိုနီးရှား](../id/README.md) | [အီတလီ](../it/README.md) | [ဂျပန်](../ja/README.md) | [ကန်နာဒါ](../kn/README.md) | [ကိုရီးယား](../ko/README.md) | [လစ်သူဝေးနီးယား](../lt/README.md) | [မာလေး](../ms/README.md) | [မာလာရမ်](../ml/README.md) | [မာရသိ](../mr/README.md) | [နီပေါလီ](../ne/README.md) | [နိုင်ဂျီးရီးယား ပစ္ဂင်](../pcm/README.md) | [နော်ဝေ](../no/README.md) | [ပါရှန် (ဖာ ရ်စီ)](../fa/README.md) | [ပိုလန်](../pl/README.md) | [ပေါ်တူဂီ (ဘရာဇီးလ်)](../pt-BR/README.md) | [ပေါ်တူဂီ (ပိုတူဂီ)](../pt-PT/README.md) | [ပန်ဂျာဘီ (ဂူရူမူခီ)](../pa/README.md) | [ရိုမေးနီးယား](../ro/README.md) | [ရုရှား](../ru/README.md) | [ဆားဘီးယား (စီရီးလစ်)](../sr/README.md) | [စလိုဗက်](../sk/README.md) | [စလိုဗေးနီးယား](../sl/README.md) | [စပိန်](../es/README.md) | [ဆွာဟီလီ](../sw/README.md) | [ဆွီဒင်](../sv/README.md) | [တာဂလိုဂ် (ဖိလစ်ပိုင်)](../tl/README.md) | [တမီးလ်](../ta/README.md) | [တာလူဂူ](../te/README.md) | [ថៃ](../th/README.md) | [တူရကီ](../tr/README.md) | [ယူကရိန်း](../uk/README.md) | [ဥာဒူး](../ur/README.md) | [ဗီယက်နမ်](../vi/README.md)
|
||||
[အာရဗီ](../ar/README.md) | [ဘင်္ဂလီ](../bn/README.md) | [ဘူလ်ဂေးရီးယား](../bg/README.md) | [မြန်မာ (Myanmar)](./README.md) | [တရုတ် (ရိုးရှင်း)](../zh-CN/README.md) | [တရုတ် (ရိုးရာ၊ ဟောင်ကောင်)](../zh-HK/README.md) | [တရုတ် (ရိုးရာ၊ မာကောင်)](../zh-MO/README.md) | [တရုတ် (ရိုးရာ၊ ထိုင်ဝမ်)](../zh-TW/README.md) | [ခရိုအေးရှီးယား](../hr/README.md) | [ချက်](../cs/README.md) | [ဒိန်မတ်](../da/README.md) | [ဒတ်ချ်](../nl/README.md) | [အက်စတိုးနီးယား](../et/README.md) | [ဖင်နီရှ်](../fi/README.md) | [ပြင်သစ်](../fr/README.md) | [ဂျာမန်](../de/README.md) | [ဂရိ](../el/README.md) | [ဟီဘရူး](../he/README.md) | [ဟိंदी](../hi/README.md) | [ဟန်ဂါရီ](../hu/README.md) | [အင်ဒိုနီးရှား](../id/README.md) | [အီတလီ](../it/README.md) | [ဂျပန်](../ja/README.md) | [ကန်နာဒါ](../kn/README.md) | [ကိုရီးယား](../ko/README.md) | [လီကျူၤနီးယား](../lt/README.md) | [မလေး](../ms/README.md) | [မလေးလမ်](../ml/README.md) | [မရာသီး](../mr/README.md) | [နီပေါလိ](../ne/README.md) | [နိုင်းဂျီးရီးယား ပစ်ဂင်](../pcm/README.md) | [နော်ဝေး](../no/README.md) | [ပါရှင်း (ဖာစီ)](../fa/README.md) | [ပိုလန်](../pl/README.md) | [ပေါ်တူဂီ (ဘရာဇီးလ်)](../pt-BR/README.md) | [ပေါ်တူဂီ (ပေါ်တူဂီ)](../pt-PT/README.md) | [ပန်ဂျာဘီ (ဂူရ်မူခီ)](../pa/README.md) | [ဆိုမေးနီးယား](../ro/README.md) | [ရုရှား](../ru/README.md) | [ဆာဘီးယား (စိရီလစ်)](../sr/README.md) | [ဆိုဗက်](../sk/README.md) | [ဆိုဗေးနီးယား](../sl/README.md) | [စပိန်](../es/README.md) | [ဆွာဟီလီ](../sw/README.md) | [ဆွီဒင်](../sv/README.md) | [တဂါလို (ဖီလစ်ပိုင်)](../tl/README.md) | [တမီး](../ta/README.md) | [တယ်လူဂူ](../te/README.md) | [ထိုင်း](../th/README.md) | [တာကီး](../tr/README.md) | [ယူကရိန်း](../uk/README.md) | [ဥရဒူး](../ur/README.md) | [ဗီယက်နမ်](../vi/README.md)
|
||||
|
||||
> **ဒေသတွင်း များကူးယူချင်ပါသလား?**
|
||||
> **ဒေသန္တရ အဖြစ် တိုက်ရိုက် Clone လုပ်ရန် မျှော်လင့်ပါသလား?**
|
||||
|
||||
> ဒီ repository မှာ ဘာသာစကား ၅၀ ကျော် စာနဲ့အတူ ပါဝင်တဲ့ အတွက် ဒေါင်းလုဒ် အရွယ်အစား ကြီးတယ်။ ဘာသာစကားများမပါဘဲ ကူးယူချင်ရင် sparse checkout ကို အသုံးပြုပါ:
|
||||
> ဒီ repository တွင်ဘာသာစကား ၅၀ ကျော် ပါဝင်ပြီး ဒေါင်းလုပ် အရွယ်အစားကို များစေသည်။ ဘာသာပြန်ချက်များ မပါဝင်ဘဲ မတင်ချင်လျှင် sparse checkout ကို သုံးပါ:
|
||||
> ```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'
|
||||
> ```
|
||||
> ဒါကြောင့် သင်သင်ယူဖို့ လိုအပ်သမျှ အားလုံးကို ပိုမြန်တဲ့ ဒေါင်းလုဒ်နဲ့ ရနိုင်ပါပြီ။
|
||||
> သင့်အား သင်တန်းကုတ်ကို အချိန်အတိုင်းအတာမှန်ကန်စွာ ပြီးမြောက်မှုမှာ အလျင်မြန်စေပါသည်။
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**အခြား ဘာသာစကားများ ထောက်ပံ့လိုပါက၊ ဤနေရာတွင် စာရင်းပြုထားသည် [here](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## အသိုင်းအဝိုင်းတွင် ပူးပေါင်းပါ
|
||||
**ထပ်မံလိုအပ်သော ဘာသာစကားများထောက်ပံ့နိုင်ရန် ကြိုးစားသင့်ပါက [ဒီနေရာမှာ](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md) ကြည့်ရှုနိုင်ပါသည်။**
|
||||
|
||||
## အသိုင်းအဝိုင်း၌ ပါဝင်ရန်
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## သင်ယူမည့်အချက်များ
|
||||
## သင်ယူလေ့လာရမည့်အရာများ
|
||||
|
||||
**[သင်တန်း၏ စိတ်ကူးမြေပုံ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[သင်တန်း၏ စိတ်ဓာတ်မြေပုံ](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
ဒီအစီအစဉ်တွင် သင်တန်းသားများ အောက်ဖော်ပြပါအချက်များကို သင်ယူမည်ဖြစ်ပါသည်-
|
||||
ဤသင်တန်းအစီအစဉ်တွင် သင်လေ့လာမည့်အရာများမှာ-
|
||||
|
||||
* အတုယူစက်ရုပ်၏ ကွဲပြားသောနည်းလမ်းများ၊ အထူးသဖြင့် အမှတ်အသားပြ နည်းလမ်းဖြစ်သော **အသိအမှတ်ပြုမှု** နှင့် စဉ်းစားခြင်း ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))။
|
||||
* ခေတ်မှီ AI ၏ အခြေခံတည်နေရာဖြစ်သော **နွယ်နက်၀ါးများ** နှင့် **နက်ရှိုင်းသင်ယူမှု**။ ထိုဂိမ်းဝိုင်းကို ပိုမိုနားလည်ရလွယ်ကူစေရန် အဓိက framework ၂ ခုဖြစ်သော [TensorFlow](http://Tensorflow.org) နှင့် [PyTorch](http://pytorch.org) တွင် ကုဒ်များဖြင့် ရှင်းလင်းပြသမည်။
|
||||
* ပုံနှင့် စာသားကို လုပ်ဆောင်ရာ၌ အသုံးပြုသော **နွယ်နက် ပုံစံများ**။ မကြာသေးမီက မော်ဒယ်များကို ရှင်းလင်းထားသော်လည်း နောက်ဆုံးနည်းပညာအတိုင်းမဖြစ်နိုင်သေးပါ။
|
||||
* အနည်းသော အသုံးပြုမှုရှိသော AI နည်းလမ်းများဖြစ်သော **ဗီဇဆိုင်ရာ အယ်လဂေါရီသမ်များ** နှင့် **အဖွဲ့ဝင်စနစ်များ**။
|
||||
* အတုယူသော ဉာဏ်ရည်၏ အမျိုးမျိုးနည်းလမ်းများ၊ အထူးသဖြင့် **နေရာထားမှုအသိပညာ** (Knowledge Representation) နှင့် သဘောတရားစဉ်းစားခြင်း ပါဝင်သော ရိုးရာ သင်္ကေတနည်းလမ်း ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence))။
|
||||
* ခေတ်မှီ AI ၏ အခြေခံဖြစ်သည့် **အကြောင်းအရာကွန်ရက်များ**နှင့် **နက်ရှိုင်းသင်ကြားခြင်း**။ TensorFlow နှင့် PyTorch တို့ဖြင့် အဓိကသဘောများကို ကုဒ်ဖြင့် ဖော်ပြပါမည်။
|
||||
* ပုံရိပ်များနှင့် စာသားများနှင့် လုပ်ကိုင်နိုင်သော **နက်ရှိုင်းဖွဲ့စည်းတည်ဆောက်ပုံများ**။ နောက်ဆုံးပေါ် ပုံစံများကို အကျဉ်းတင်ဖြစ်စေသော်လည်း နည်းနည်း အားနည်းနိုင်ပါသည်။
|
||||
* နည်းနည်း နာမည်မကြီးသော AI နည်းလမ်းများ၊ ဥပမာ **ဂျီနက်ဆစ် အယ်လဂို့ရီသမ်များ**နှင့် **အများ Agent System များ**။
|
||||
|
||||
ဒီအစီအစဉ်တွင် မပါဝင်မည့် အကြောင်းအရာများ-
|
||||
ဤသင်တန်းနောက် ထည့်မည်မဟုတ်သော အရာများ-
|
||||
|
||||
> [ဒီသင်တန်းနှင့် ပတ်သက်သော အပိုဆောင်းအရင်းအမြစ်များကို မြန်မာ Microsoft Learn စုစည်းမှုတွင် ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
> [Microsoft Learn တွင် ဤသင်တန်း၏ ထပ်ဆောင်းအရင်းအမြစ်များအားလုံးကို ရှာဖွေပါ](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* **စီးပွားရေးသုံး AI** ၏ စီးပွားရေးကိစ္စများ။ Microsoft Learn တွင် ပါဝင်သော [စီးပွားရေးသုံး AI ကို မိတ်ဆက်ခြင်း](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်ကြားမှုလမ်းကြောင်း သို့မဟုတ် [AI စီးပွားရေးကျောင်း](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ကို INSEAD နှင့် ပူးပေါင်းတီထွင်ထားသည်ကို သင်ယူပါ။
|
||||
* ကျွန်ုပ်တို့၏ [လူသစ်များအတွက် စက်သင်ယူမှု](http://github.com/Microsoft/ML-for-Beginners) တွင် အသေးစားနည်းလမ်းဖြစ်သည့် **စက်သင်ယူမှု ပုံမှန်နည်းလမ်း** မပါဝင်။
|
||||
* **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** အသုံးပြုပြီး တီထွင်ထားသော လက်တွေ့ AI အက်ပလီကေးရှင်းများ။ ဤအတွက် Microsoft Learn တွင် [မြင်ကွင်း](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum)၊ [သဘာဝဘာသာစကား ပြုလုပ်မှု](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum)၊ **[Azure OpenAI Service ဖြင့် ဂျီနရေးတစ် AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** နှင့် အခြားများ စသော မော်ဂျူးများဖြင့် စတင်ရန် တိုက်တွန်းပါသည်။
|
||||
* အထူးသတ်မှတ်ထားသော ML **Cloud Frameworks**, ဥပမာ [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), သို့မဟုတ် [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum)။ သင်ယူရန် [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) နှင့် [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) သင်ယူမှုလမ်းကြောင်းများကို အသုံးပြုပါ။
|
||||
* **စကားပြော AI** နှင့် **စကားပြော Bot များ**။ သီးခြား [စကားပြော AI ဖြေရှင်းချက်များ ဖန်တီးခြင်း](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်ကြားမှု လမ်းကြောင်းရှိပြီး၊ ပိုပြီး အသေးစိတ်အတွက် [ဤ ဘလော့ဂ်ပို့စ်](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ကိုလည်း ပြန်လည်ကြည့်ရှုနိုင်သည်။
|
||||
* နက်ရှိုင်းသင်ယူမှုတွင် ပါဝင်သော **နက်ရှိုင်းသင်ယူမှု သင်္ချာကိန်းဂဏန်းများ**। ဤအတွက် Ian Goodfellow, Yoshua Bengio နှင့် Aaron Courville ရေးသားသော [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) ဝတ္ထုကို လမ်းညွှန်အဖြစ် အသုံးပြုရန် ညိတ်ဆက်ထားပြီး [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) တွင် အွန်လိုင်းလည်း ရရှိနိုင်ပါသည်။
|
||||
* **စီးပွားရေးလုပ်ငန်းတွင် AI အသုံးပြုမှု** ၏ စီးပွားရေးကိစ္စများ။ Microsoft Learn တွင် [စီးပွားရေးအသုံးပြုသူများအတွက် AI မိတ်ဆက်](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်း သို့မဟုတ် [AI စီးပွားရေးသင်တန်းခန်းမ](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum) ကို ကြည့်ရှုပါ။
|
||||
* **နာမည်အများဆုံး စက်သင်ယူမှု**၊ ၎င်းအား [Machine Learning for Beginners Curriculum](http://github.com/Microsoft/ML-for-Beginners) တွင် ပြည့်စုံစွာ ဖော်ပြထားသည်။
|
||||
* Practical AI အကောင်အထည်ဖော်မှုများတည်ဆောက်ရာတွင် **[Cognitive Services](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)** အသုံးပြုခြင်း။ ဤအတွက် vision, natural language processing နှင့် **[Azure OpenAI Service နှင့် Generative AI](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** တို့အတွက် Microsoft Learn ၏ modules များထဲမှ စတင်သင့်သည်။
|
||||
* အထူးပြု ML **Cloud Frameworks** များ၊ ဥပမာ [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) သို့မဟုတ် [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum) များ။ [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) နှင့် [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်းများကို အသုံးပြုရန် အကြံပြုသည်။
|
||||
* **စကားပြော AI** နှင့် **Chat Bot** များ။ ဆွေးနွေးစကားပုံ AI ဖြေရှင်းချက်ဖန်တီးခြင်းအတွက် သီးသန့် [Create conversational AI solutions](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်းရှိပြီး၊ အသေးစိတ် သိရှိလိုလျှင် [ဒီ ဘလော့ဂ်](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) ကိုလည်း ဖတ်ရှုနိုင်ပါသည်။
|
||||
* နက်ရှိုင်းသင်ကြားမှုအတွက် အခြေခံ **ဂဏန်းသိပ္ပံ**။ ဤအတွက် Ian Goodfellow, Yoshua Bengio နှင့် Aaron Courville ရေးသားသော [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) စာအုပ်ကို အကြံပြုလိုက်ပါသည်၊ အွန်လိုင်းတွင်လည်း [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/) မှာ ရရှိနိုင်ပါသည်။
|
||||
|
||||
_Cloud တွင် AI_ အကြောင်း လွယ်ကူစွာ မိတ်ဆက်ရန်အတွက် [Azure ပေါ်တွင် အတုယူစက်ရုပ်ဖြင့် စတင်ရန်](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) သင်ကြားမှု လမ်းကြောင်းကို အကြံပြုပါသည်။
|
||||
_Cloud အတွင်း AI_ ကို ချိုချိုမြိန်မြိန် နားလည်ချင်သူများအတွက် [Azure တွင် artificial intelligence ကို စတင်လေ့လာရန်](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum) သင်တန်းလမ်းကြောင်းကို သီးသန့်သုံးသင့်ပါသည်။
|
||||
|
||||
# အကြောင်းအရာ
|
||||
|
||||
| | သင်ခန်းစာ လင့်ခ် | PyTorch/Keras/TensorFlow | လေ့ကျင့်ခန်း |
|
||||
| | သင်ခန်းစာ ချိတ်ဆက်မှု | PyTorch/Keras/TensorFlow | လက်တွေ့လေ့ကျင့်ခန်း |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [သင်တန်း စတင်ခြင်း](./lessons/0-course-setup/setup.md) | [ဖန်တီးမှု ပတ်ဝန်းကျင် ပြင်ဆင်ခြင်း](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI မိတ်ဆက်**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI မိတ်ဆက်နှင့် သမိုင်း](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **သင်္ကေတ AI** |
|
||||
| 02 | [အသိအမှတ်ပြုမှုနှင့် ကျွမ်းကျင်မှု စနစ်များ](./lessons/2-Symbolic/README.md) | [ကျွမ်းကျင်မှု စနစ်များ](./lessons/2-Symbolic/Animals.ipynb) / [ဇာတိတော်အခြေခံ စနစ်](./lessons/2-Symbolic/FamilyOntology.ipynb) /[အယူအဆ အကြောင်းပြု ရုပ်ပုံ](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**နယူးရယ်ကွန်ယက်များသို့နိဒါန်း**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [ပာစက်ထရွန်](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [အလွယ်တကူအဆင့်များပါ ပာစက်ထရွန်နှင့် ကျွန်ုပ်တို့၏ကိုယ့်စိတ်ကြိုက် Framework တည်ဆောက်ခြင်း](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Framework များသို့နိဒါန်း (PyTorch/TensorFlow) နှင့် အလွန်တက်မှု](./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 | [**ကွန်ပျူတာမြင်ကွင်း**](./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 တွင် ကွန်ပျူတာမြင်ကွင်း စမ်းသပ်ရန်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [ကွန်ပျူတာမြင်ကွင်းနှင့် မိတ်ဆက်ခြင်း။ OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [ကွန်ဗောလုရှင်းနယူးရယ်ကွန်ယက်များ](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN စက်ဆောက်ပုံများ](./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 | [ကြိုတင်လေ့လာပြီးသောကွန်ယက်များနှင့် ကူးပြောင်းသင်ယူခြင်း](./lessons/4-ComputerVision/08-TransferLearning/README.md) နှင့် [လေ့ကျင့်ရေးနည်းပညာများ](./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 | [အော်တိုအင်ကိုးဒါများနှင့် VAE များ](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [ဖန်တီးမှုဆန်ဆန် အပြိုင်တန်းကွန်ယက်များနှင့် အနုပညာစတိုင်ကူးပြောင်းခြင်း](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [အရာဝတ္ထုစမ်းသပ်ခြင်း](./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 | [သိပ္ပံဘာသာဖြင့် Segmentation။ 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 | [**ဘာသာစကားသဘာဝလုပ်ငန်းဆောင်တာ**](./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 တွင် ဘာသာစကားသဘာဝလုပ်ငန်းဆောင်တာ စူးစမ်းခြင်း](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [စာသားကို ကိုယ်စားပြုခြင်း။ 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 | [စာလုံး၏အဓိပ္ပာယ်အရသွင်ပြင်ဆက်စပ်မှု။ Word2Vec နှင့် 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 | [ဘာသာစကားမော်ဒယ်ရေးခြင်း။ ကိုယ့်ကိုယ်ကို embedding များလေ့ကျင့်ခြင်း](./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 | [ပြန်လည်ဖြတ်သန်းမှုနယူးရယ်ကွန်ယက်များ](./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 | [ဖန်တီးရေးပြန်လည်ဖြတ်သန်းမှုကွန်ယက်များ](./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) |
|
||||
| 0 | [သင်တန်း စတင်မည့် နည်းလမ်း](./lessons/0-course-setup/setup.md) | [သင့် ရေးရာ ဖွံ့ဖြိုးရေးပတ်ဝန်းကျင် ကို စတင်ဖွင့်ပါ](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**AI မိတ်ဆက်ခြင်း**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [AI မိတ်ဆက်ခြင်းနှင့် သမိုင်း](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **သင်္ကေတအခြေခံ AI** |
|
||||
| 02 | [အတွေ့အကြုံ စနစ်များနှင့် သိခြင်း ကိုယ်စားပြုခြင်း](./lessons/2-Symbolic/README.md) | [အတွေ့အကြုံ စနစ်များ](./lessons/2-Symbolic/Animals.ipynb) / [Ontology](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Concept Graph](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**နျူရယ်ကွန်ရက်များအကြောင်းမိတ်ဆက်**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Notebook](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Lab](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Multi-Layered Perceptron နှင့် ကိုယ်ပိုင် Framework ဖန်တီးခြင်း](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Notebook](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Lab](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Framework များ (PyTorch/TensorFlow) နှင့် Overfitting အကြောင်းမိတ်ဆက်](./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 | [**ကွန်ပျူတာမြင်ကွင်း**](./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 ပေါ်တွင် ကွန်ပျူတာမြင်ကွင်းကို စူးစမ်းရန်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [ကွန်ပျူတာမြင်ကွင်းမိတ်ဆက်။ OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Notebook](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Lab](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Convolutional Neural Networks](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN အဆောက်အအုံများ](./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 | [အရင်တင်ထားပြီးသောကွန်ရက်များနှင့် ကူးပြောင်းသင်ယူခြင်း](./lessons/4-ComputerVision/08-TransferLearning/README.md) နှင့် [သင်ကြားမှုနည်းလမ်းများ](./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 | [Autoencoders နှင့် 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 | [Generative Adversarial Networks နှင့် အနုပညာစတိုင် ကူးပြောင်းခြင်း](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [အရာဝတ္ထုရှာဖွေရေး](./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 | [ဘာသာခြားခြားနားနားရေးခြင်း။ 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 | [**သဘာဝဘာသာစကား ကိုင်တွယ်ခြင်း**](./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 ပေါ်တွင် သဘာဝဘာသာစကား ကိုင်တွယ်ခြင်း ကို စူးစမ်းရန်](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [စာသားကိုယ်စားပြုမှု။ 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 | [ဘာသာစကားရေးစဉ်အဓိပ္ပါယ် သွင်းယူခြင်း။ Word2Vec နှင့် 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 | [ဘာသာစကား မော်ဒယ်ဆွဲခြင်း။ ကိုယ်ပိုင် အဓိပ္ပါယ် သွင်းယူမှုများ သင်ကြားခြင်း](./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 | [Recurrent Neural Networks](./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 | [Generative Recurrent Networks](./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 | [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 | [အမည်သတ်မှတ်ထားသောအဖွဲ့အစည်း အသိအမှတ်ပြုခြင်း](./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 | [အကြီးစားဘာသာစကားမော်ဒယ်များ၊ Prompt Programming နှင့် နည်းနည်းသင်ကြားမှုလုပ်ငန်းဆောင်တာများ](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| 19 | [အမည်ရ ကဏ္ဍ သတ်မှတ်ခြင်း](./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 | [ကြီးမားသော ဘာသာစကား မော်ဒယ်များ၊ Prompt Programming နှင့် Few-Shot အလုပ်များ](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **အခြား AI နည်းပညာများ** || |
|
||||
| 21 | [ဂျင်နိုက် အယ်လဂိုရီသမ်များ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [နက်ရှိုက် အခြေခံတဲ့ ပြန်လည်အားဖြည့်မှုသင်ယူခြင်း](./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) |
|
||||
| 21 | [ဂျီနက်တစ် အယ်လ်ဂိုရစ်သမ်များ](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Notebook](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [နက်ရှိုင်းသော အားပေးသင်ကြားမှု](./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 | [Multi-Agent Systems](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **AI မြင်ကွင်းများနှင့် သမာဓိ** | | |
|
||||
| 24 | [AI မြင်ကွင်းများနှင့် တာဝန်ရှိမှု AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: တာဝန်ရှိသော AI 원칙များ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **ထပ်ဆောင်းအကြောင်းအရာများ** | | |
|
||||
| VII | **AI သဘာဝရွေးချယ်မှုများ** | | |
|
||||
| 24 | [AI သဘာဝရွေးချယ်မှုများနှင့် တာဝန်ယူနိုင်သော AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: တာဝန်ယူနိုင်သော AI စည်းကမ်းများ](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **ထပ်ဆောင်းများ** | | |
|
||||
| 25 | [Multi-Modal Networks, CLIP နှင့် VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Notebook](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## လက်တွေ့သင်ခန်းစာတိုင်းတွင် ပါဝင်သည်များ
|
||||
## သင်ခန်းစာတိုင်းတွင် ပါဝင်သည့်အရာများ
|
||||
|
||||
* ကြိုတင်ဖတ်ရှုရန် စာရင်း
|
||||
* လုပ်ဆောင်နိုင်သော Jupyter Notebooks များ၊ မကြာခဏ Framework အရောက်ကျသည့် (**PyTorch** သို့မဟုတ် **TensorFlow**) ဖြစ်သည်။ လုပ်ဆောင်နိုင်သော notebook တွင် သဘောတရားဆိုင်ရာများလည်းပါရှိသည့်အတွက် မည်သူမဆို ခေါင်းစဉ်နားလည်ရန် သာမန်အားဖြင့် notebook တစ်ခုခု (PyTorch သို့ TensorFlow) ကို ကြည့်ရှုရန် လိုအပ်သည်။
|
||||
* အချို့ခေါင်းစဉ်များအတွက် သင်တန်းပြန်လည်လုပ်ဆောင်နိုင်သော **Labs** များ၊ သင်သင်ယူခဲ့သော ကိစ္စအကြောင်းအရာကို တိကျသောပြဿနာတစ်ခုတွင် အသုံးပြု၍ ကြိုးစားလေ့လာနိုင်သောအခွင့်အလမ်းပေးသည်။
|
||||
* အပိုင်းတချို့တွင် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) မိုဒျူးများသို့ ချိတ်ဆက်ထားသည်။
|
||||
* ရှေ့ဆက်အတတ်ပညာစာအုပ်များ
|
||||
* framework အလိုက်ခွဲခြားထားသော Jupyter Notebooks အားလုံး (PyTorch သို့မဟုတ် TensorFlow) ပါဝင်သည်။ executable notebook တွင် သီအိုရီအရ အကြောင်းအရာများစွာပါရှိသောကြောင့် ချိတ်ဆက်သော Jupyter Notebook တစ်ခုကိုသာ (PyTorch သို့မဟုတ် TensorFlow) ကို ဖတ်ရှုနားလည်ရမည်။
|
||||
* တချို့ခေါင်းစဉ်များအတွက် **Labs** ရရှိနိုင်ပြီး သင်လေ့လာထားသောအကြောင်းအရာများကို သက်ဆိုင်ရာ ပြဿနာအတွက် အသုံးပြုကြည့်နိုင်သည့် အခွင့်အရေးကို ပေးသည်။
|
||||
* အချို့အပိုင်းများတွင် [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) သင်ခန်းစာများကို ချိတ်ဆက်ထားပြီး သက်ဆိုင်ရာခေါင်းစဉ်များကို ပါဝင်သည်။
|
||||
|
||||
## စတင်ရန်
|
||||
## စတင်သင်ယူခြင်း
|
||||
|
||||
### 🎯 AI အသစ်တက်သူများအတွက်! ဒီနေရာကနေ စတင်ပါ။
|
||||
### 🎯 AI အသစ်လား? ဒီနေရာမှ စလိုက်ပါ!
|
||||
|
||||
AI အသစ်တက်သူများအတွက် လျင်မြန်သေချာသော လက်တွေ့ ဥပမာများကို ကျွန်ုပ်တို့၏ [**စိတ်ကြိုက်အကြီးအကျယ် ဥပမာများ**](./examples/README.md) တွင် စူးစမ်းနိုင်ပါသည်။ ထည့်သွင်းထားသည်မှာ -
|
||||
AI ကို အသစ်စ entirely လုံးဝ မသိပါက၊ လျင်မြန်သွားနိုင်ရန် အတွေ့အကြုံရရှိစေမည့် [**အစ Beginner-Friendly ตัวอย่าง**](./examples/README.md) ကို ကြည့်ပါ! ၎င်းတို့သည် -
|
||||
|
||||
- 🌟 **Hello AI World** - သင်၏ပထမဆုံး AI ပရိုဂရမ် (ပုံစံအသိအမှတ်ပြုခြင်း)
|
||||
- 🧠 **ရိုးရှင်းသောနယူးရယ်ကွန်ယက်** - နယူးရယ်ကွန်ယက်ကို အစကနေတည်ဆောက်ခြင်း
|
||||
- 🌟 **Hello AI World** - သင့်အတွက် ပထမဆုံး AI ပရိုဂရမ် (ပုံစံသိရှိခြင်း)
|
||||
- 🧠 **ရိုးရှင်းသော နျူရယ်ကွန်ရက်** - neural network ကို အစကနေတည်ဆောက်ခြင်း
|
||||
|
||||
- 🖼️ **ပုံခွဲခြားစနစ်** - အဒီၤပုံများကို အသေးစိတ် မှတ်ချက်များနှင့် ခွဲခြားခြင်း
|
||||
- 💬 **စာသားခံစားချက်** - အပြု/အမပြု စာသားများကို ခွဲခြမ်းစိတ်ဖြာခြင်း
|
||||
- 🖼️ **ရုပ်ပုံခွဲခြမ်းစစ်ဆေးသူ** - အကြောင်းအရာအသေးစိတ်မှတ်ချက်များနှင့် ရုပ်ပုံများကိုခွဲခြမ်းစစ်ဆေးခြင်း
|
||||
- 💬 **စာသားခံစားချက်** - သဘောကျ/မကျ text ကိုခွဲခြမ်းစစ်ဆေးခြင်း
|
||||
|
||||
ဤဥပမာများကို သင်၏ AI မှတ်ယူချက်များကို နားလည်ရန်အတွက် ဖန်တီးထားပြီး မိမိတို့လေ့လာရေးအစီအစဉ်ကို စတင်လေ့လာရန် ပြင်ဆင်ပေးထားသည်။
|
||||
ဤဥပမာများသည် သင်အား AI အကြောင်းအရာများကို နားလည်ရန် ကူညီရန် ရည်ရွယ်ပါသည်၊ ပြီးနောက် လုံးဝသင်တန်းအစီအစဉ်ကို စတင်ပါ။
|
||||
|
||||
### 📚 အပြည့်အစုံ သင်ရိုးညွှန်းတမ်း ပြင်ဆင်ခြင်း
|
||||
### 📚 လုံးဝသင်တန်းအစီအစဉ်တပ်ဆင်ခြင်း
|
||||
|
||||
- ဖန်တီးထားသည့် [setup lesson](./lessons/0-course-setup/setup.md) မှတဆင့် သင်၏ ဖွံဖြိုးတိုးတက်မှု ပတ်ဝန်းကျင်ကို ပြင်ဆင်နိုင်ပါသည်။
|
||||
- အတန်းအတွက် သင်ကြားသူများအတွက်လည်း [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) ဖန်တီးထားသည်။
|
||||
- [VSCode သို့မဟုတ် Codespace တွင် အကောင်အထည်ဖော်နည်း](./lessons/0-course-setup/how-to-run.md)
|
||||
- သင်၏ဖွံ့ဖြိုးတိုးတက်မှုပတ်ဝန်းကျင် တပ်ဆင်ရာတွင် ကူညီရန် [setup lesson](./lessons/0-course-setup/setup.md) တစ်ခုကို ဖန်တီးထားပါသည်။ - သင်ကြားပေးသူများအတွက်လည်း [curricula setup lesson](./lessons/0-course-setup/for-teachers.md) တစ်ခုကို ဖန်တီးထားပါသည်!
|
||||
- [VSCode သို့မဟုတ် Codespace တွင် ကုဒ်ကို run ပြုလုပ်နည်း](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
အောက်ပါ အဆင့်များကို လိုက်နာပါ -
|
||||
အောက်ပါအဆင့်များကို လိုက်နာပါ-
|
||||
|
||||
Repository ကို ဖောက်သည် - ဤစာမျက်နှာ၏ ညာဘက်အပေါ်တွင်ရှိသည့် "Fork" ခလုတ်ကို နှိပ်ပါ။
|
||||
Repository ကို Fork လုပ်ပါ: ဤစာမျက်နှာ၏ အပေါ်ညာကွက်တွင်ရှိသည့် "Fork" ခလုတ်ကို နှိပ်ပါ။
|
||||
|
||||
Repository ကို clone လုပ်ပါ - `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Repository ကို Clone လုပ်ပါ: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
ပြီးလျှင် repo ကို စတား (🌟) ပေးပါ။ ရှာဖွေဖို့ လွယ်ကူစေပါမည်။
|
||||
နောက်ပိုင်းတွင် ရှာဖွေရန် လွယ်ကူစေရန် ဤ repo ကို ကြယ်စင် (🌟) ချက်မမေ့ပါနဲ့။
|
||||
|
||||
## အခြားလေ့လာသူများနှင့် တွေ့ဆုံခြင်း
|
||||
|
||||
ဒီသင်ကြားမှုကို လေ့လာနေသူများနှင့် တွေ့ဆုံပြီး ဆွေးနွေးရန် ကျွန်ုပ်တို့ရဲ့ [တရားဝင် AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) ကို ဝင်ရောက်ပါ။
|
||||
ဤသင်တန်းကို လေ့လာနေသည့် အခြားလေ့လာသူများနှင့် တွေ့ဆုံပြီး စကားပြောဆွေးနွေးရန်၊ ကူညီမှုရရှိရန် [တရားဝင် AI Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum) တွင် ပူးပေါင်းဆောင်ရွက်ပါ။
|
||||
|
||||
ထပ်မံ ဒီဇိုင်းဆောက်လုပ်စဉ် တွေ့ရှိလာသော ထုတ်ကုန်မေးမြန်းချက်များ သို့မဟုတ် အကြံပြုချက်များရှိပါက ကျွန်ုပ်တို့ရဲ့ [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) သို့ သွားရောက်ပါ။
|
||||
ထုတ်ကုန်ဆီမှာ သဘောတူညီချက်များ သို့မဟုတ် မေးခွန်းများရှိပါက[Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum) မှာ တိုက်ရိုက်ဆက်သွယ်နိုင်ပါသည်။
|
||||
|
||||
## စမ်းသပ်စစ်ဆေးမှုများ (Quizzes)
|
||||
## စစ်တမ်းများ
|
||||
|
||||
> **Quiz များအကြောင်း မှတ်ချက်**: All quizzes are contained in the Quiz-app folder in etc\quiz-app, or [Online Here](https://ff-quizzes.netlify.app/) သင်ခန်းစာအတွင်းပိုင်းမှ ချိတ်ဆက်ထားပါသည်။ Quiz App ကို ဒေသခံတွင် သို့မဟုတ် Azure သို့ တပ်ဆင်အသုံးပြုနိုင်ပါသည်။ `quiz-app` ဖိုလ်ဒါအတွင်းရှိပြသနာများကို လိုက်နာပါ။ Quiz များကို မြန်မြန်ဆန်ဆန် ပြည်တွင်းဘာသာဖြင့် ပြင်ဆင်နေပါသည်။
|
||||
> **စစ်တမ်းများအကြောင်း မှတ်ချက်**: စစ်တမ်းများအားလုံးသည် etc\quiz-app တွင်ရှိသည့် Quiz-app ဖိုလ်ဒါထဲတွင်၊ သို့မဟုတ် [အွန်လိုင်းမှာ](https://ff-quizzes.netlify.app/) ရှိသည်။ ၎င်းတို့ကို သင်ခန်းစာများမှ လင့်ခ်ထားပြီး စစ်တမ်း app ကို ဒေသတွင်း run ပြုလုပ်နိုင်သလို Azure သို့ deploy လုပ်နိုင်ပါသည်။ `quiz-app` ဖိုလ်ဒါအတွင်းရှိ အသုံးပြုနည်းများကို လိုက်နာပါ။ စတင်၍ ဒေသတြင်းဘာသာပြန်နေပါသည်။
|
||||
|
||||
## အကူအညီလိုအပ်ပါသည်
|
||||
## ကူညီလိုပါသည်
|
||||
|
||||
အကြံပြုချက်များရှိပါသလား သို့မဟုတ် စာလုံးပေါင်း ချွတ်ယွင်းမှု သို့မဟုတ် ကုဒ်အမှားများတွေ့ရှိပါသလား? ပြဿနာတင်ရန် သို့မဟုတ် pull request တင်ရန် ဆောင်ရွက်ပါ။
|
||||
အကြံပြုချက်ရှိပြီး စာလုံးပေါင်းသွင်းမမှန်ခြင်း သို့မဟုတ် ကုဒ်အမှားတွေကိုတွေ့ရှိပါက ကိစ္စတင်သွင်းပါ သို့မဟုတ် Pull request တစ်ခု ဖန်တီးပါ။
|
||||
|
||||
## အထူးကျေးဇူးတင်ခြင်း
|
||||
## အထူးကျေးဇူးတင်ရှိပါသည်
|
||||
|
||||
* **✍️ အဓိကရေးသားသူ:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 အယ်ဒီတာ:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote ပန်းချီဆရာ:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ စမ်းသပ်မှု ဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 အဓိက ပါဝင်ဆောင်ရွက်သူများ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🔥 တည်းဖြတ်သူ:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Sketchnote ပန်းချီဆွဲသူ:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ စစ်တမ်းဖန်တီးသူ:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 အဓိကအဖွဲ့ဝင်များ:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## အခြား သင်ရိုးညွှန်းတမ်းများ
|
||||
## အခြား သင်တန်းအစီအစဉ်များ
|
||||
|
||||
ကျွန်ုပ်တို့အသင်းအဖွဲ့သည် အခြားသင်ရိုးညွှန်းတမ်းများကို ထုတ်လုပ်သည်။ ဖော်ပြပါကိုကြည့်ရှုပါ -
|
||||
ကျွန်ုပ်တို့အသင်းသည် အခြား သင်တန်းအစီအစဉ်များကို ထုတ်လုပ်ပါသည်။ ကြည့်ပါ-
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
|
||||
[](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
|
|
@ -209,19 +207,19 @@ Repository ကို clone လုပ်ပါ - `git clone https://github.com/mi
|
|||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## အကူအညီရယူနည်း
|
||||
## ကူညီမှုရယူရန်
|
||||
|
||||
AI အက်ပ်များ ဖန်တီးရာတွင် အခက်အခဲရှိပါက MCP အတွင်း လေ့လာသူများနှင့် အတွေ့အကြုံရှိသူများနှင့် ဆွေးနွေးနိုင်ပါသည်။ မေးခွန်းများသာမက ပညာအကြောင်းအရာများကိုလည်း မျှဝေကြသည့် ပံ့ပိုးမှုအဖွဲ့အစည်းဖြစ်ပါသည်။
|
||||
AI apps ဖန်တီးရာတွင် အခင်အခဲတိုက်ရိုက်ကြုံတွေ့ပါက MCP သင်ယူနေသူများနှင့် အတွေ့အကြုံရှိ developer များ၏ ဆွေးနွေးကြမည့် ဖိုရမ်သို့ တက်ရောက်ပါ။ ၎င်းမှာ မေးခွန်းများကို လွတ်လပ်စွာမေးမြန်းနိုင်ပြီး သင်ကြားပေးမှုများကို မျှဝေကြတဲ့ ပံ့ပိုးမှုရှိသောအသင်းဝင်အဖွဲ့ပါ။
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
ထုတ်ကုန်ပြန်လည်တုံ့ပြန်ချက် သို့မဟုတ် ဖန်တီးရာတွင် အမှားများရိှပါက သွားရောက်စစ်ဆေးပါ -
|
||||
ထုတ်ကုန်ပေါ်တွင် တုံ့ပြန်ချက်များ သို့မဟုတ် အမှားများလည်းရှိပါက ဤနေရာသို့ သွားပါ-
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**အဆိုပြုချက်**
|
||||
ဤစာတမ်းကို AI ဘာသာပြန်ဆဲဝစ်စ် [Co-op Translator](https://github.com/Azure/co-op-translator) ဖြင့် ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် မှန်ကန်မှုအတွက် ကြိုးပမ်းပါသော်လည်း အလိုအလျှောက် ဘာသာပြန်ချက်များတွင် အမှားလည်း ရှိနိုင်မှုကို သတိပြုပါရန် မေတ္တာရပ်ခံအပ်ပါသည်။ မူရင်းစာတမ်းကို မိမိဘာသာစကားဖြင့် ထုတ်ပြန်ထားသည့်ပုံစံကို တရားဝင်သော အရင်းအမြစ်အဖြစ် သတ်မှတ်စဉ်းစားသင့်ပါသည်။ အရေးကြီးသော အချက်အလက်များအတွက် သက်ဆိုင်ရာ ပညာရှင် လူသား ဘာသာပြန်ခြင်းကို အကြံပြုပါသည်။ ဤဘာသာပြန်ချက်ကို အသုံးပြုသည့်နေရာများမှ ဖြစ်ပေါ်နိုင်သော နားမလည်မှုများ သို့မဟုတ် မမှန်ကန်စွာ ခွဲခြားနားလည်မှုများအတွက် ကျွန်ုပ်တို့ တာဝန်မယူပါ။
|
||||
**အသိပေးချက်**
|
||||
ဤစာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှုဖြစ်သော [Co-op Translator](https://github.com/Azure/co-op-translator) ကိုအသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် မှန်ကန်မှုအတွက် ကြိုးပမ်းဆောင်ရွက်သော်လည်း အလိုအလျောက်ဘာသာပြန်မှုတွင် အမှားများ သို့မဟုတ် မမှန်ကန်မှုများ ပါရှိနိုင်ကြောင်း အသိပေးလိုပါသည်။ မူရင်းစာတမ်းကို မူလဘာသာဖြင့်သာ ယုံကြည်ရမည့် အချက်အလက်အရင်းအမြစ်အဖြစ် အလေးထားစဉ်းစားရမည်ဖြစ်သည်။ အရေးကြီးသော သတင်းအချက်အလက်များအတွက် မိမိသူတော်အဖြစ် လူသားဘာသာပြန်ကို အသုံးပြုရန် အကြံပြုပါသည်။ ဤဘာသာပြန်မှုကို အသုံးပြုမှုကြောင့် ဖြစ်ပေါ်လာနိုင်သည့် နားလည်မှားယွင်းမှုများ၊ မှားယွင်းဖော်ပြမှုများအတွက် ကျွန်ုပ်တို့သည် တာ၀န်မရှိပါ။
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
|
|
@ -6,8 +6,8 @@
|
|||
"language_code": "sl"
|
||||
},
|
||||
"README.md": {
|
||||
"original_hash": "1984fc89dd304a8a33ab5584691a99aa",
|
||||
"translation_date": "2026-01-30T02:42:05+00:00",
|
||||
"original_hash": "75fe3383afc51eaa84b82ace619ffea7",
|
||||
"translation_date": "2026-02-06T09:15:33+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "sl"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -16,174 +16,174 @@
|
|||
|
||||
||
|
||||
|:---:|
|
||||
| AI za začetnike - _Skiznot avtorice [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
| AI For Beginners - _Sketchnote avtorja [@girlie_mac](https://twitter.com/girlie_mac)_ |
|
||||
|
||||
Raziščite svet **umetne inteligence** (UI) z našim 12-tedenskim učnim načrtom s 24 lekcijami! Vključuje praktične lekcije, kvize in delavnice. Učni načrt je prijazen začetnikom in pokriva orodja, kot sta TensorFlow in PyTorch, ter tudi etiko v UI.
|
||||
Raziščite svet **umetne inteligence** (UI) z našim 12-tedenskim, 24-lekcijskim učnim načrtom! Vključuje praktične lekcije, kvize in laboratorijske vaje. Učni načrt je prijazen do začetnikov in pokriva orodja, kot sta TensorFlow in PyTorch, pa tudi etiko v UI.
|
||||
|
||||
|
||||
### 🌐 Podpora za več jezikov
|
||||
|
||||
#### Podprto preko GitHub Action (avtomatizirano in vedno posodobljeno)
|
||||
#### Podprto preko GitHub Action (avtomatsko in vedno posodobljeno)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](../pcm/README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](./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)
|
||||
[Arabščina](../ar/README.md) | [Bengalščina](../bn/README.md) | [Bolgarščina](../bg/README.md) | [Burmanščina (Mjanmar)](../my/README.md) | [Poenostavljena kitajščina](../zh-CN/README.md) | [Tradicionalna kitajščina (Hong Kong)](../zh-HK/README.md) | [Tradicionalna kitajščina (Macao)](../zh-MO/README.md) | [Tradicionalna kitajščina (Tajvan)](../zh-TW/README.md) | [Hrvaščina](../hr/README.md) | [Češčina](../cs/README.md) | [Danščina](../da/README.md) | [Nizozemščina](../nl/README.md) | [Estonščina](../et/README.md) | [Finščina](../fi/README.md) | [Francoščina](../fr/README.md) | [Nemščina](../de/README.md) | [Grščina](../el/README.md) | [Hebrejščina](../he/README.md) | [Hindijščina](../hi/README.md) | [Madžarščina](../hu/README.md) | [Indonezijščina](../id/README.md) | [Italijanščina](../it/README.md) | [Japonščina](../ja/README.md) | [Kannada](../kn/README.md) | [Korejščina](../ko/README.md) | [Litovščina](../lt/README.md) | [Malajščina](../ms/README.md) | [Malajalščina](../ml/README.md) | [Marathi](../mr/README.md) | [Nepalščina](../ne/README.md) | [Nigerijski pidžin](../pcm/README.md) | [Norveščina](../no/README.md) | [Perzijski (Farsi)](../fa/README.md) | [Poljščina](../pl/README.md) | [Portugalski (Brazilija)](../pt-BR/README.md) | [Portugalski (Portugalska)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romunščina](../ro/README.md) | [Ruščina](../ru/README.md) | [Srbščina (cirilica)](../sr/README.md) | [Slovaščina](../sk/README.md) | [Slovenščina](./README.md) | [Španščina](../es/README.md) | [Svahili](../sw/README.md) | [Švedščina](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamilščina](../ta/README.md) | [Telugu](../te/README.md) | [Tajščina](../th/README.md) | [Turščina](../tr/README.md) | [Ukrajinščina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamščina](../vi/README.md)
|
||||
|
||||
> **Raje klonirate lokalno?**
|
||||
|
||||
> Ta repozitorij vključuje več kot 50 prevodov, kar znatno poveča velikost prenosa. Za klon brez prevodov uporabite sparse checkout:
|
||||
> Ta repozitorij vključuje več kot 50 jezikovnih prevodov, kar znatno poveča velikost prenosa. Za kloniranje brez prevodov uporabite 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'
|
||||
> ```
|
||||
> Tako dobite vse, kar potrebujete za dokončanje tečaja z veliko hitrejšim prenosom.
|
||||
> Tako boste imeli vse, kar potrebujete za dokončanje tečaja, z veliko hitrejšim prenosom.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
**Če želite podpreti dodatne jezike prevodov, so podprti jeziki navedeni [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
**Če želite, da so podprti dodatni jeziki za prevod, so na voljo [tukaj](https://github.com/Azure/co-op-translator/blob/main/getting_started/supported-languages.md)**
|
||||
|
||||
## Pridružite se skupnosti
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
## Kaj se boste naučili
|
||||
|
||||
**[Miselnica tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
**[Miselni zemljevid tečaja](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)**
|
||||
|
||||
V tem učnem načrtu se boste naučili:
|
||||
|
||||
* Različnih pristopov k umetni inteligenci, vključno z "dobrim starim" simbolnim pristopom s **predstavljanjem znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Nevronskih mrež** in **globokega učenja**, ki so jedro sodobne UI. Pojasnili bomo koncepte za tema pomembnima področjema z uporabo kode v dveh najbolj priljubljenih okvirjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
|
||||
* **Nevronskih arhitektur** za delo s slikami in besedilom. Pokrili bomo najnovejše modele, čeprav morda ne povsem najnovejše dosežke.
|
||||
* Manj priljubljene pristope k UI, kot so **genetski algoritmi** in **večagentni sistemi**.
|
||||
* Različne pristope k umetni inteligenci, vključno s "starim dobrim" simbolnim pristopom z **predstavo znanja** in sklepanjem ([GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence)).
|
||||
* **Nevronske mreže** in **globoko učenje**, ki sta jedro sodobne UI. Koncepte teh pomembnih tem bomo ponazorili z uporabo kode v dveh najpopularnejših ogrodjih - [TensorFlow](http://Tensorflow.org) in [PyTorch](http://pytorch.org).
|
||||
* **Nevronske arhitekture** za delo s slikami in besedilom. Pokrili bomo novejše modele, vendar so lahko nekoliko zaostali za najnovejšimi trendi.
|
||||
* Manj priljubljene pristope k UI, kot so **genetski algoritmi** in **sistemi z več agenti**.
|
||||
|
||||
Kaj ne bomo zajemali v tem učnem načrtu:
|
||||
Kaj ne bomo pokrivali v tem učnem načrtu:
|
||||
|
||||
> [Poiščite vse dodatne vire za ta tečaj v naši zbirki Microsoft Learn](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)
|
||||
|
||||
* Poslovnih primerov uporabe **UI v poslovanju**. Razmislite o opravilu učne poti [Uvod v UI za poslovne uporabnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ali [AI poslovno šolo](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvito v sodelovanju z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasičnega strojnega učenja**, ki je dobro opisan v našem [Učnem načrtu strojnega učenja za začetnike](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktičnih UI aplikacij, zgrajenih z uporabo **[Kognitivnih storitev](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo, da začnete z moduli Microsoft Learn za [vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelavo naravnega jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generativno UI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** in druge.
|
||||
* Specifične ML **oblake ogrodja**, kot so [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), ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Uporabite učni poti [Build and operate machine learning solutions with Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) in [Build and Operate Machine Learning Solutions with Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Pogovorno UI** in **pogovorne bote**. Obstaja ločena učna pot [Ustvarite pogovorne UI rešitve](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), prav tako pa si lahko ogledate [to objavo na blogu](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/) za več podrobnosti.
|
||||
* **Globoko matematiko** za globoko učenje. Za to priporočamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) avtorjev Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je na voljo tudi na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
* Poslovni primeri uporabe **UI v poslovanju**. Razmislite o začetnem učnem programu [Uvod v UI za poslovne uporabnike](https://docs.microsoft.com/learn/paths/introduction-ai-for-business-users/?WT.mc_id=academic-77998-bethanycheum) na Microsoft Learn ali [UI poslovna šola](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-bethanycheum), razvita v sodelovanju z [INSEAD](https://www.insead.edu/).
|
||||
* **Klasično strojno učenje**, ki je dobro opisano v našem [učnem načrtu Strojno učenje za začetnike](http://github.com/Microsoft/ML-for-Beginners).
|
||||
* Praktične aplikacije UI, zgrajene z uporabo **[Kognitivnih storitev](https://azure.microsoft.com/services/cognitive-services/?WT.mc_id=academic-77998-bethanycheum)**. Za to priporočamo začetek z moduli Microsoft Learn za [vid](https://docs.microsoft.com/learn/paths/create-computer-vision-solutions-azure-cognitive-services/?WT.mc_id=academic-77998-bethanycheum), [obdelavo naravnega jezika](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-bethanycheum), **[generativno UI z Azure OpenAI Service](https://learn.microsoft.com/en-us/training/paths/develop-ai-solutions-azure-openai/?WT.mc_id=academic-77998-bethanycheum)** in druge.
|
||||
* Specifična oblačna ogrodja za ML, kot so [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) ali [Azure Databricks](https://docs.microsoft.com/learn/paths/data-engineer-azure-databricks?WT.mc_id=academic-77998-bethanycheum). Razmislite o uporabi učnih poti [Izgradnja in upravljanje rešitev strojnega učenja z Azure Machine Learning](https://docs.microsoft.com/learn/paths/build-ai-solutions-with-azure-ml-service/?WT.mc_id=academic-77998-bethanycheum) in [Izgradnja in upravljanje rešitev strojnega učenja z Azure Databricks](https://docs.microsoft.com/learn/paths/build-operate-machine-learning-solutions-azure-databricks/?WT.mc_id=academic-77998-bethanycheum).
|
||||
* **Klepetalna UI** in **chat boti**. Obstaja posebna učna pot [Ustvarjanje klepetalnih UI rešitev](https://docs.microsoft.com/learn/paths/create-conversational-ai-solutions/?WT.mc_id=academic-77998-bethanycheum), poleg tega pa se lahko za več podrobnosti obrnete na [ta blog objavo](https://soshnikov.com/azure/hello-bot-conversational-ai-on-microsoft-platform/).
|
||||
* **Globoka matematika** za globoko učenje. Za to priporočamo [Deep Learning](https://www.amazon.com/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618) avtorjev Ian Goodfellow, Yoshua Bengio in Aaron Courville, ki je tudi na voljo na spletu na [https://www.deeplearningbook.org/](https://www.deeplearningbook.org/).
|
||||
|
||||
Za prijazen uvod v teme _UI v oblaku_ razmislite o opravljanju učne poti [Začni z umetno inteligenco na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
Za nežen uvod v teme _UI v oblaku_ lahko razmislite o učenju z učnim potjo [Začnite z umetno inteligenco na Azure](https://docs.microsoft.com/learn/paths/get-started-with-artificial-intelligence-on-azure/?WT.mc_id=academic-77998-bethanycheum).
|
||||
|
||||
# Vsebina
|
||||
|
||||
| | Povezava do lekcije | PyTorch/Keras/TensorFlow | Laboratorij |
|
||||
| :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ |
|
||||
| 0 | [Nastavitev tečaja](./lessons/0-course-setup/setup.md) | [Nastavite svoje razvojno okolje](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| 0 | [Nastavitev tečaja](./lessons/0-course-setup/setup.md) | [Nastavite razvojno okolje](./lessons/0-course-setup/how-to-run.md) | |
|
||||
| I | [**Uvod v UI**](./lessons/1-Intro/README.md) | | |
|
||||
| 01 | [Uvod in zgodovina UI](./lessons/1-Intro/README.md) | - | - |
|
||||
| II | **Simbolna UI** |
|
||||
| 02 | [Predstavljanje znanja in ekspertni sistemi](./lessons/2-Symbolic/README.md) | [Ekspertni sistemi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Graf konceptov](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| 02 | [Predstavitev znanja in ekspertski sistemi](./lessons/2-Symbolic/README.md) | [Ekspertski sistemi](./lessons/2-Symbolic/Animals.ipynb) / [Ontologija](./lessons/2-Symbolic/FamilyOntology.ipynb) /[Konceptni graf](./lessons/2-Symbolic/MSConceptGraph.ipynb) | |
|
||||
| III | [**Uvod v nevronske mreže**](./lessons/3-NeuralNetworks/README.md) |||
|
||||
| 03 | [Perceptron](./lessons/3-NeuralNetworks/03-Perceptron/README.md) | [Zvezek](./lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/03-Perceptron/lab/README.md) |
|
||||
| 04 | [Večplastni perceptron in ustvarjanje lastnega ogrodja](./lessons/3-NeuralNetworks/04-OwnFramework/README.md) | [Zvezek](./lessons/3-NeuralNetworks/04-OwnFramework/OwnFramework.ipynb) | [Laboratorij](./lessons/3-NeuralNetworks/04-OwnFramework/lab/README.md) |
|
||||
| 05 | [Uvod v ogrodja (PyTorch/TensorFlow) in prenaučenje](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| 05 | [Uvod v ogrodja (PyTorch/TensorFlow) in prekomerno prileganje](./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) | [Laboratorij](./lessons/3-NeuralNetworks/05-Frameworks/lab/README.md) |
|
||||
| IV | [**Računalniški vid**](./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)| [Raziskuj računalniški vid na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum) |
|
||||
| 06 | [Uvod v računalniški vid. OpenCV](./lessons/4-ComputerVision/06-IntroCV/README.md) | [Zvezek](./lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb) | [Laboratorij](./lessons/4-ComputerVision/06-IntroCV/lab/README.md) |
|
||||
| 07 | [Konvolucijske nevronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [CNN arhitekture](./lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) | [PyTorch](./lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb) /[TensorFlow](./lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Predhodno usposobljene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki pri usposabljanju](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Avtoenkoderji in VAE-ji](./lessons/4-ComputerVision/09-Autoencoders/README.md) | [PyTorch](./lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb) | |
|
||||
| 10 | [Generativne nasprotujoče mreže in prenos umetniškega stila](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 07 | [Konvolucijske nevronske mreže](./lessons/4-ComputerVision/07-ConvNets/README.md) & [Arhitekture 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) | [Laboratorij](./lessons/4-ComputerVision/07-ConvNets/lab/README.md) |
|
||||
| 08 | [Prednaložene mreže in prenosno učenje](./lessons/4-ComputerVision/08-TransferLearning/README.md) in [Triki pri učenju](./lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) | [PyTorch](./lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb) / [TensorFlow](./lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.ipynb) | [Laboratorij](./lessons/4-ComputerVision/08-TransferLearning/lab/README.md) |
|
||||
| 09 | [Avtoenkoderji in 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 | [Generativne nasprotujoče mreže & prenos umetniškega sloga](./lessons/4-ComputerVision/10-GANs/README.md) | [PyTorch](./lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb) / [TensorFlow](./lessons/4-ComputerVision/10-GANs/GANTF.ipynb) | |
|
||||
| 11 | [Zaznavanje predmetov](./lessons/4-ComputerVision/11-ObjectDetection/README.md) | [TensorFlow](./lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection.ipynb) | [Laboratorij](./lessons/4-ComputerVision/11-ObjectDetection/lab/README.md) |
|
||||
| 12 | [Semantična segmentacija. 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 | [**Obdelava naravnega jezika**](./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) | [Raziskuj obdelavo naravnega jezika na Microsoft Azure](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum)|
|
||||
| 13 | [Predstavitev besedila. 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 | [Semantični vgrajeni zapisi besed. Word2Vec in 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 | [Modeliranje jezika. Usposabljanje lastnih vgrajenih zapisov](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 14 | [Semantične vgradnje besed. Word2Vec in 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 | [Modeliranje jezika. Učenje lastnih vgradenj](./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) | [Laboratorij](./lessons/5-NLP/15-LanguageModeling/lab/README.md) |
|
||||
| 16 | [Rekurentne nevronske mreže](./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 | [Generativne rekurentne mreže](./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) | [Laboratorij](./lessons/5-NLP/17-GenerativeNetworks/lab/README.md) |
|
||||
| 18 | [Transformatorji. BERT.](./lessons/5-NLP/18-Transformers/README.md) | [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersPyTorch.ipynb) /[TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/TransformersTF.ipynb) | |
|
||||
| 18 | [Transformerji. 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 | [Prepoznavanje poimenovanih entitet](./lessons/5-NLP/19-NER/README.md) | [TensorFlow](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/19-NER/NER-TF.ipynb) | [Laboratorij](./lessons/5-NLP/19-NER/lab/README.md) |
|
||||
| 20 | [Veliki jezikovni modeli, programiranje navodil in naloge z malo primeri](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Druge tehnike umetne inteligence** || |
|
||||
| 20 | [Veliki jezikovni modeli, programiranje pozivov in naloge z malo podatki](./lessons/5-NLP/20-LangModels/README.md) | [PyTorch](https://microsoft.github.io/AI-For-Beginners/lessons/5-NLP/20-LangModels/GPT-PyTorch.ipynb) | |
|
||||
| VI | **Druge tehnike AI** || |
|
||||
| 21 | [Genetski algoritmi](./lessons/6-Other/21-GeneticAlgorithms/README.md) | [Zvezek](./lessons/6-Other/21-GeneticAlgorithms/Genetic.ipynb) | |
|
||||
| 22 | [Globoko učenje z okrepljenjem](./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) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Sistemi z več agenti](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etika umetne inteligence** | | |
|
||||
| 24 | [Etika umetne inteligence in odgovorna umetna inteligenca](./lessons/7-Ethics/README.md) | [Microsoft Learn: Načela odgovorne umetne inteligence](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| 22 | [Gloko utrjevalno učenje](./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) | [Laboratorij](./lessons/6-Other/22-DeepRL/lab/README.md) |
|
||||
| 23 | [Večagentni sistemi](./lessons/6-Other/23-MultiagentSystems/README.md) | | |
|
||||
| VII | **Etika AI** | | |
|
||||
| 24 | [Etika AI in odgovorni AI](./lessons/7-Ethics/README.md) | [Microsoft Learn: Principi odgovorne AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) | |
|
||||
| IX | **Dodatki** | | |
|
||||
| 25 | [Večmodalne mreže, CLIP in VQGAN](./lessons/X-Extras/X1-MultiModal/README.md) | [Zvezek](./lessons/X-Extras/X1-MultiModal/Clip.ipynb) | |
|
||||
|
||||
## Vsaka lekcija vsebuje
|
||||
|
||||
* Material za predhodno branje
|
||||
* Izvršljive Jupyter zvezke, ki so pogosto specifični za ogrodje (**PyTorch** ali **TensorFlow**). Izvršljivi zvezek vsebuje tudi veliko teoretičnega gradiva, zato je za razumevanje teme potrebno prebrati vsaj eno različico zvezka (bodisi PyTorch ali TensorFlow).
|
||||
* **Laboratorije** na voljo za nekatere teme, ki vam omogočajo, da preizkusite uporabo naučenega gradiva na določenem problemu.
|
||||
* Nekateri razdelki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki pokrivajo sorodne teme.
|
||||
* Predhodno gradivo za branje
|
||||
* Izvedljive Jupyter zvezke, ki so pogosto specifični za ogrodje (**PyTorch** ali **TensorFlow**). Izvedljiv zvezek vsebuje tudi veliko teoretičnega gradiva, zato morate za razumevanje teme preiti vsaj eno različico zvezka (ali PyTorch ali TensorFlow).
|
||||
* **Laboratorije** na voljo za nekatere teme, ki vam omogočajo, da poskusite uporabiti naučeno gradivo na določenem problemu.
|
||||
* Nekateri odseki vsebujejo povezave do modulov [**MS Learn**](https://learn.microsoft.com/en-us/collections/7w28iy2xrqzdj0?WT.mc_id=academic-77998-bethanycheum), ki pokrivajo sorodne teme.
|
||||
|
||||
## Začni
|
||||
## Začetek
|
||||
|
||||
### 🎯 Nov v AI? Začni tukaj!
|
||||
|
||||
Če ste popolnoma novi v AI in želite hitre, praktične primere, si oglejte naše [**Primere za začetnike**](./examples/README.md)! Ti vključujejo:
|
||||
Če ste popoln začetnik v AI in želite hitre, praktične primere, si oglejte naše [**Prijazne primere za začetnike**](./examples/README.md)! Vključujejo:
|
||||
|
||||
- 🌟 **Pozdravljen AI svet** - vaš prvi program AI (prepoznavanje vzorcev)
|
||||
- 🧠 **Preprosta nevronska mreža** - zgradite nevronsko mrežo iz nič
|
||||
- 🌟 **Pozdravljen AI svet** - Vaš prvi AI program (prepoznavanje vzorcev)
|
||||
- 🧠 **Preprosta nevronska mreža** - Zgradite nevronsko mrežo iz nič
|
||||
|
||||
- 🖼️ **Razvrščevalnik slik** - Razvrsti slike z obširnimi komentarji
|
||||
- 💬 **Sentiment besedila** - Analiza pozitivnega/negativnega besedila
|
||||
- 🖼️ **Razvrščevalnik slik** - Razvrščajte slike z podrobnimi komentarji
|
||||
- 💬 **Sentiment besedila** - Analizirajte pozitivno/negativno besedilo
|
||||
|
||||
Ti primeri so oblikovani tako, da vam pomagajo razumeti pojme umetne inteligence, preden se lotite celotnega učnega načrta.
|
||||
Ti primeri so zasnovani, da vam pomagajo razumeti koncepte umetne inteligence, preden se poglobite v celoten učni načrt.
|
||||
|
||||
### 📚 Nastavitev celotnega učnega načrta
|
||||
|
||||
- Ustvarili smo [nastavitveno lekcijo](./lessons/0-course-setup/setup.md), ki vam pomaga pri nastavitvi razvojnega okolja. - Za izobraževalce smo pripravili tudi [lekcijo o nastavitvi učnih načrtov](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Kako [pognati kodo v VSCode ali Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
- Ustvarili smo [uvodno lekcijo za nastavitev](./lessons/0-course-setup/setup.md), ki vam pomaga pri nastavitvi vašega razvojnega okolja. - Za izobraževalce smo prav tako ustvarili [lekcijo o nastavitvi učnih načrtov](./lessons/0-course-setup/for-teachers.md)!
|
||||
- Kako [pognati kodo v VSCode ali Codespace](./lessons/0-course-setup/how-to-run.md)
|
||||
|
||||
Sledite tem korakom:
|
||||
|
||||
Odvežite repozitorij: Kliknite na gumb "Fork" v zgornjem desnem kotu te strani.
|
||||
Razvezi repozitorij: Kliknite na gumb "Fork" v zgornjem desnem kotu te strani.
|
||||
|
||||
Klonirajte repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
Kloniraj repozitorij: `git clone https://github.com/microsoft/AI-For-Beginners.git`
|
||||
|
||||
Ne pozabite tej repozitorij dati zvezdico (🌟), da ga boste lažje našli kasneje.
|
||||
Ne pozabite dati zvezdico (🌟) temu repozitoriju za lažje iskanje kasneje.
|
||||
|
||||
## Spoznajte druge udeležence
|
||||
## Spoznajte druge učence
|
||||
|
||||
Pridružite se našemu [uradnemu AI Discord strežniku](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in se povežete z drugimi udeleženci tečaja ter dobite podporo.
|
||||
Pridružite se našemu [uradnemu Discord strežniku AI](https://aka.ms/genai-discord?WT.mc_id=academic-105485-bethanycheum), da spoznate in mrežite z drugimi udeleženci tega tečaja ter pridobite podporo.
|
||||
|
||||
Če imate povratne informacije o izdelku ali vprašanja med razvojem, obiščite naš [Azure AI Foundry Developer Forum](https://aka.ms/foundry/forum)
|
||||
|
||||
## Kvizi
|
||||
|
||||
> **Opomba o kvizih**: Vsi kvizi so nameščeni v mapi Quiz-app v etc\quiz-app ali [spletno tukaj](https://ff-quizzes.netlify.app/). Povezani so znotraj lekcij, kviz aplikacijo je mogoče pognati lokalno ali namestiti v Azure; sledite navodilom v mapi `quiz-app`. Postopoma se lokalizirajo.
|
||||
> **Opomba o kvizih**: Vsi kvizi so shranjeni v mapi Quiz-app v etc\quiz-app, ali [Spletno tukaj](https://ff-quizzes.netlify.app/) Povezave do njih so vključene v lekcijah. Aplikacijo kviz lahko zaženete lokalno ali pa jo namestite na Azure; sledite navodilom v mapi `quiz-app`. Postopoma se prevajajo.
|
||||
|
||||
## Iščemo pomoč
|
||||
## Potrebna pomoč
|
||||
|
||||
Imate predloge ali ste našli pravopisne ali kodne napake? Odprite issue ali ustvarite pull request.
|
||||
Imate predloge ali ste opazili pravopisne ali kodne napake? Odprite zadevo (issue) ali ustvarite pull zahtevo.
|
||||
|
||||
## Posebne zahvale
|
||||
## Posebna zahvala
|
||||
|
||||
* **✍️ Glavni avtor:** [Dmitry Soshnikov](http://soshnikov.com), PhD
|
||||
* **🔥 Urednik:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator sketchnotov:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **🔥 Urejevalec:** [Jen Looper](https://twitter.com/jenlooper), PhD
|
||||
* **🎨 Ilustrator skic:** [Tomomi Imura](https://twitter.com/girlie_mac)
|
||||
* **✅ Ustvarjalec kvizov:** [Lateefah Bello](https://github.com/CinnamonXI), [MLSA](https://studentambassadors.microsoft.com/)
|
||||
* **🙏 Glavni sodelavci:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
* **🙏 Glavni prispevki:** [Evgenii Pishchik](https://github.com/Pe4enIks)
|
||||
|
||||
## Drugi učni načrti
|
||||
|
||||
Naša ekipa ustvarja tudi druge učne načrte! Oglejte si:
|
||||
Naša ekipa izdeluje tudi druge učne načrte! Oglejte si:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://aka.ms/langchain4j-for-beginners)
|
||||
[](https://aka.ms/langchainjs-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
[](https://github.com/microsoft/langchain-for-beginners?WT.mc_id=m365-94501-dwahlin)
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agents
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Azure / Edge / MCP / Agenti
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serija generativne AI
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
### Serija generativne umetne inteligence
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
|
@ -191,29 +191,29 @@ Naša ekipa ustvarja tudi druge učne načrte! Oglejte si:
|
|||
---
|
||||
|
||||
### Osnovno učenje
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Serija Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
### Serija Copilot
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Dobite pomoč
|
||||
## Kako dobiti pomoč
|
||||
|
||||
Če se zataknete ali imate kakršnakoli vprašanja glede ustvarjanja AI aplikacij. Pridružite se ostalim udeležencem in izkušenim razvijalcem v razpravah o MCP. Gre za podporno skupnost, kjer so vprašanja dobrodošla in se znanje prosto deli.
|
||||
Če se zataknete ali imate vprašanja o razvoju AI aplikacij. Pridružite se kolegom učencem in izkušenim razvijalcem v razpravah o MCP. To je podporna skupnost, kjer so vprašanja dobrodošla in kjer se znanje prosto deli.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Če imate povratne informacije o izdelku ali napake med razvojem, obiščite:
|
||||
Če imate povratne informacije o izdelku ali napake med razvojem obiščite:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
|
|
@ -221,5 +221,5 @@ Naša ekipa ustvarja tudi druge učne načrte! Oglejte si:
|
|||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Omejitev odgovornosti**:
|
||||
Ta dokument je bil preveden z uporabo storitve za avtomatski prevod AI [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas opozarjamo, da avtomatski prevodi lahko vsebujejo napake ali netočnosti. Izvirni dokument v njegovem maternem jeziku naj velja za zanesljiv vir. Za ključne informacije priporočamo strokovni človeški prevod. Nismo odgovorni za morebitna nesporazume ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda.
|
||||
Ta dokument je bil preveden z uporabo storitve za prevajanje z umetno inteligenco [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas opozarjamo, da lahko avtomatski prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem izvorno jeziku se šteje za avtoritativni vir. Za kritične informacije priporočamo strokovni človeški prevod. Za morebitna nesporazume ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda, ne odgovarjamo.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
Loading…
Reference in New Issue