# AI ## [Įvadas į AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/1-Intro/README.md) - AI apibrėžimas - AI istorija - AI metodai - Top-down/Symbolinis - Bottom-up/Neurinis - Evoliucinis - Sinerginis / Emergentinis AI - [Microsoft AI Business School](https://www.microsoft.com/ai/ai-business-school/?WT.mc_id=academic-77998-cacaste) ## [Simbolinis AI](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/README.md) - Žinių atvaizdavimas - [Ekspertinės sistemos](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/Animals.ipynb) - [Ontologijos](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/2-Symbolic/FamilyOntology.ipynb) - Semantinis tinklas ## [Neuroniniai tinklai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/README.md) - [Perceptronas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/03-Perceptron/README.md) - [Daugiasluoksniai tinklai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/04-OwnFramework/README.md) - [Įvadas į sistemas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/README.md) - [PyTorch](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb) - [TensorFlow](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md) - [Perteklinis mokymasis](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/3-NeuralNetworks/05-Frameworks/Overfitting.md) ## [Kompiuterinė rega](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/README.md) - MS Learn platformoje - [AI pagrindai: Kompiuterinės regos tyrimas](https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-77998-cacaste) - [Kompiuterinė rega su PyTorch](https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-77998-cacaste) - [Kompiuterinė rega su TensorFlow](https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-77998-cacaste) - [Įvadas į kompiuterinę regą. OpenCV](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/06-IntroCV/README.md) - [Konvoliuciniai tinklai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/README.md) - [CNN architektūros](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md) - [Perdavimo mokymasis](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/README.md) - [Mokymosi gudrybės](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md) - [Autoenkoderiai ir VAEs](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/09-Autoencoders/README.md) - [Generatyviniai priešiniai tinklai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/README.md) - [Stiliaus perdavimas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb) - [Objektų atpažinimas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/11-ObjectDetection/README.md) - [Segmentacija](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/4-ComputerVision/12-Segmentation/README.md) ## [Natūralios kalbos apdorojimas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/README.md) - MS Learn platformoje - [AI pagrindai: NLP tyrimas](https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-77998-cacaste) - [NLP su PyTorch](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-77998-cacaste) - [NLP su TensorFlow](https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-77998-cacaste) - [Teksto atvaizdavimas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/13-TextRep/README.md) - Žodžių maišas - TF/IDF - [Semantiniai įterpiniai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/14-Embeddings/README.md) - Word2Vec - GloVE - [Kalbos modeliavimas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/15-LanguageModeling) - [Rekurentiniai neuroniniai tinklai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/16-RNN/README.md) - LSTM - GRU - [Generatyviniai rekurentiniai tinklai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/17-GenerativeNetworks/README.md) - [Transformatoriai ir BERT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/18-Transformers/README.md) - [Pavadintų objektų atpažinimas](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/19-NER/README.md) - [Teksto generavimas ir GPT](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/5-NLP/20-LanguageModels/README.md) ## Kiti metodai - [Genetiniai algoritmai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/21-GeneticAlgorithms/README.md) - [Gilus pastiprinimo mokymasis](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/22-DeepRL/README.md) - [Daugiaveiksmės sistemos](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/6-Other/23-MultiagentSystems/README.md) ## [AI etika](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/7-Ethics/README.md) - [MS Learn apie atsakingą AI](https://docs.microsoft.com/learn/paths/responsible-ai-business-principles/?WT.mc_id=academic-77998-cacaste) ## Papildoma - [Multimodaliniai tinklai](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/README.md) - [CLIP](https://github.com/microsoft/AI-For-Beginners/blob/main/lessons/X-Extras/X1-MultiModal/Clip.ipynb) - DALL-E - VQ-GAN --- **Atsakomybės apribojimas**: Šis dokumentas buvo išverstas naudojant AI vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors siekiame tikslumo, prašome atkreipti dėmesį, kad automatiniai vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas jo gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Kritinei informacijai rekomenduojama profesionali žmogaus vertimo paslauga. Mes neprisiimame atsakomybės už nesusipratimus ar klaidingus interpretavimus, atsiradusius dėl šio vertimo naudojimo.