2023-02-21-first-lesson.pdf
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2023-02-22-intro-2.pdf
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2023-02-28-dl-applications.pdf
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2023-03-01-x-expresiveness-of-models.pdf
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2023-03-07-x-gradient-descent.pdf
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2023-03-08-x-backpropagation.pdf
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2023-03-14-overfitting-some-activation-functions-and-cross-entropy.pdf
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2023-03-15-convolutional-neural-networks.pdf
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2023-03-21-cnn-2-inception-layers.pdf
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2023-03-28-res-net-tranfer-learning.pdf
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2023-03-29-gradient-ascent.pdf
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2023-04-04-the-data-manifold-autoencoders.pdf
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2023-04-05-x-segmentation-and-convolutionalization.pdf
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2023-04-12-object-detection.pdf
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2023-04-18-generative-models-1.pdf
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2023-04-19-generative-models-2.pdf
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2023-04-26-conditional-generation.pdf
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2023-05-02-recurrent-neural-networks.pdf
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2023-05-03-attention-transformers.pdf
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