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<td><a href="lessons/3-NeuralNetworks/05-Frameworks/IntroPyTorch.ipynb">PyTorch</td>
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<td><a href="lessons/3-NeuralNetworks/05-Frameworks/IntroKerasTF.md">Keras/TensorFlow</td>
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<td><a href="lessons/3-NeuralNetworks/05-Frameworks/lab/README.md">Lab</a></td></tr>
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<tr><td>IV</td><td colspan="2"><b><a href="lessons/4-ComputerVision/README.md">Computer Vision</a></b></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-57639-dmitryso">MS Learn</a></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-57639-dmitryso">MS Learn</a></td>
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<tr><td>IV</td><td><b><a href="lessons/4-ComputerVision/README.md">Computer Vision</a></b></td>
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<td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-computer-vision-microsoft-azure/?WT.mc_id=academic-57639-dmitryso">AI Fundamentals: Explore Computer Vision</a></td>
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<td></td></tr>
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<tr><td colspan="2">Microsoft Learn Module on Computer Vision</td><td></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-pytorch/?WT.mc_id=academic-57639-dmitryso">PyTorch</a></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-computer-vision-TensorFlow/?WT.mc_id=academic-57639-dmitryso">TensorFlow</a></td>
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<td></td></tr>
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<tr><td>6</td><td>Intro to Computer Vision. OpenCV</td><td><a href="lessons/4-ComputerVision/06-IntroCV/README.md">Text</a><td colspan="2"><a href="lessons/4-ComputerVision/06-IntroCV/OpenCV.ipynb">Notebook</a></td><td><a href="lessons/4-ComputerVision/06-IntroCV/lab/README.md">Lab</a></td></tr>
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<tr><td>7</td><td>Convolutional Neural Networks<br/>CNN Architectures</td><td><a href="lessons/4-ComputerVision/07-ConvNets/README.md">Text</a><br/><a href="lessons/4-ComputerVision/07-ConvNets/CNN_Architectures.md">Text</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/ConvNetsPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/ConvNetsTF.ipynb">TensorFlow</a></td><td><a href="lessons/4-ComputerVision/07-ConvNets/lab/README.md">Lab</a></td></tr>
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<tr><td>8</td><td>Pre-trained Networks and Transfer Learning<br/>Training Tricks</td><td><a href="lessons/4-ComputerVision/08-TransferLearning/README.md">Text</a><br/><a href="lessons/4-ComputerVision/08-TransferLearning/TrainingTricks.md">Text</a></td><td><a href="lessons/4-ComputerVision/08-TransferLearning/TransferLearningPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/4-ComputerVision/08-TransferLearning/TransferLearningTF.ipynb">TensorFlow</a><br/><a href="lessons/4-ComputerVision/08-TransferLearning/Dropout.ipynb">Dropout sample</a></td><td><a href="lessons/4-ComputerVision/08-TransferLearning/lab/README.md">Lab</a></td></tr>
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<tr><td>9</td><td>Autoencoders and VAEs</td><td><a href="lessons/4-ComputerVision/09-Autoencoders/README.md">Text</a></td><td><a href="lessons/4-ComputerVision/09-Autoencoders/AutoEncodersPytorch.ipynb">PyTorch</td><td><a href="lessons/4-ComputerVision/09-Autoencoders/AutoencodersTF.ipynb">TensorFlow</a></td><td></td></tr>
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<tr><td>10</td><td>Generative Adversarial Networks<br/>Artistic Style Transfer</td><td><a href="lessons/4-ComputerVision/10-GANs/README.md">Text</a></td><td><a href="lessons/4-ComputerVision/10-GANs/GANPyTorch.ipynb">PyTorch</td><td><a href="lessons/4-ComputerVision/10-GANs/GANTF.ipynb">TensorFlow GAN</a><br/><a href="lessons/4-ComputerVision/10-GANs/StyleTransfer.ipynb">Style Transfer</a></td><td></td></tr>
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<tr><td>11</td><td>Object Detection</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/README.md">Text</a></td><td>PyTorch</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection-TF.ipynb">TensorFlow</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/README.md">Lab</a></td></tr>
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<tr><td>11</td><td>Object Detection</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/README.md">Text</a></td><td>PyTorch</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/ObjectDetection-TF.ipynb">TensorFlow</td><td><a href="lessons/4-ComputerVision/11-ObjectDetection/lab/README.md">Lab</a></td></tr>
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<tr><td>12</td><td>Semantic Segmentation. U-Net</td><td><a href="lessons/4-ComputerVision/12-Segmentation/README.md">Text</a></td><td><a href="lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationPytorch.ipynb">PyTorch</td><td><a href="lessons/4-ComputerVision/12-Segmentation/SemanticSegmentationTF.ipynb">TensorFlow</td><td></td></tr>
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<tr><td>V</td><td colspan="2"><b><a href="lessons/5-NLP/README.md">Natural Language Processing</a></b></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-57639-dmitryso">MS Learn</a></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-57639-dmitryso">MS Learn</a></td>
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<tr><td>V</td><td><b><a href="lessons/5-NLP/README.md">Natural Language Processing</a></b></td>
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<td colspan="3"><a href="https://docs.microsoft.com/learn/paths/explore-natural-language-processing/?WT.mc_id=academic-57639-dmitryso">AI Fundamentals: Explore Natural Language Processing</a></td>
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<td></td></tr>
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<tr><td colspan="2">Microsoft Learn Module on Natural Language</td><td></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-pytorch/?WT.mc_id=academic-57639-dmitryso">PyTorch</a></td>
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<td><a href="https://docs.microsoft.com/learn/modules/intro-natural-language-processing-TensorFlow/?WT.mc_id=academic-57639-dmitryso">TensorFlow</a></td>
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<td></td></tr>
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<tr><td>13</td><td>Text Representation. Bow/TF-IDF</td><td><a href="lessons/5-NLP/13-TextRep/README.md">Text</a></td><td><a href="lessons/5-NLP/13-TextRep/TextRepresentationPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/13-TextRep/TextRepresentationTF.ipynb">TensorFlow</td><td></td></tr>
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<tr><td>14</td><td>Semantic word embeddings. Word2Vec and GloVe</td><td><a href="lessons/5-NLP/14-Embeddings/README.md">Text</td><td><a href="lessons/5-NLP/14-Embeddings/EmbeddingsPyTorch.ipynb">PyTorch</a></td><td><a href="lessons/5-NLP/14-Embeddings/EmbeddingsTF.ipynb">TensorFlow</a></td><td></td></tr>
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