| Lesson 1 |
** Introduction and Linear Regression ** |
March 6, 2024 |
11:00 - 13:00 |
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| Lesson 2 |
** Linear and Non-Linear Classification** |
March 8, 2024 |
8:30 - 10:30 |
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| Lesson 3 |
** Neural Networks and optimization - Part I ** |
March 13, 2024 |
11:00 - 13:00 |
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| Lesson 4 |
** Neural Networks and optimization - Part II ** |
March 15, 2024 |
8:30 - 10:30 |
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| Lesson 5 |
Convolutional Neural Networks |
March 20, 2024 |
11:00 - 13:00 |
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| Lesson 6 |
Introduction to PyTorch |
March 22, 2024 |
8:00 - 11:00 |
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| Lesson 7 |
Train a CNN with Pytorch |
March 27, 2024 |
11:00 - 14:00 |
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| Lesson 8 |
Advanced CNNs |
April 10, 2024 |
11:00 - 13:00 |
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| Lesson 9 |
Explanaible AI |
April 12, 2024 |
8:00 - 11:00 |
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| Lesson 10 |
CAPTUM |
April 17, 2024 |
11:00 - 14:00 |
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| Lesson 11 |
Recurrent Neural Networks: RNN and LSTM |
April 19, 2024 |
8:00 - 11:00 |
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| Lesson 12 |
Transformers-based Models |
May 3, 2024 |
8:00 - 11:00 |
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| Lesson 13 |
Vision Transformers with PyTorch |
May 8, 2024 |
11:00 - 14:00 |
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| Lesson 14 |
Generative AI - VAE, GANs and DF - Part 1 |
May 15, 2024 |
11:00 - 13:00 |
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| Lesson 15 |
Generative AI - VAE, GANs and DF - Part 2 |
May 17, 2024 |
08:00 - 11:00 |
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| Lesson 16 |
Create a GAN with PyTorch |
May 22, 2024 |
11:00 - 14:00 |
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| Lesson 17 |
Deep Learning for Audio Processing |
May 24, 2024 |
08:00 - 11:00 |
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| Lesson 18 |
Foundation models |
May 29, 2024 |
11:00 - 14:00 |
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| Lesson 19 |
Support to project development |
May 31, 2024 |
8:00 - 11:00 |
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Presentations by students |
Jun 5, 2024 |
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Theory test |
Jun 10, 2024 |
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Projects Discussion |
Jun 12, 2024 |
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