| Lesson 1 |
Introduction |
March 8, 2023 |
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Overview of modern AI |
March 8, 2023 |
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Neural Networks and Backpropagation |
March 8, 2023 |
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| Lesson 2 |
Neural Networks Optimization |
March 15, 2023 |
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| Lesson 3 |
Introduction to PyTorch |
March 17, 2023 |
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| Lesson 4 |
Convolutional Neural Networks |
March 22, 2023 |
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| Lesson 5 |
Train a CNN with Pytorch |
March 24, 2023 |
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| Lesson 6 |
Advanced CNNs |
March 29, 2023 |
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| Lesson 7 |
Explanaible AI |
March 31, 2023 |
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| Lesson 8 |
CAPTUM |
April 05, 2023 |
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| Lesson 9 |
Generative Models - VAE and GANs |
April 19, 2023 |
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| Lesson 10 |
Support to HW1 |
April 19, 2023 |
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| Lesson 11 |
Generative Models - Diffusion Models |
April 26, 2023 |
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| Lesson 12 |
DCGAN |
April 28, 2023 |
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| Lesson 13 |
Recurrent Neural Networks |
May 03, 2023 |
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| Lesson 14 |
Speech Generation through RNN |
May 05, 2023 |
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| Lesson 15 |
Transformers and ChatGPT |
May 10, 2023 |
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| Lesson 16 |
Homework presentation |
May 24, 2023 |
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| Lesson 17 |
Theory test |
May 26, 2023 |
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