太贊！639頁《深度學習：Deep Learning》硬核課程PPT下載
太贊！639頁《深度學習：Deep Learning》硬核課程PPT下載
GITHUB: https://github.com/glouppe/info8010-deep-learning#info8010—deep-learning
| Date | Topic |
|---|---|
| February 7 |
Outline [PDF] Lecture 0: Introduction [PDF] Lecture 1: Fundamentals of machine learning [PDF] Tutorial 1: Installation and tensor operations |
| February 14 |
Lecture 2: Neural networks [PDF] Tutorial 2: Using pre-trained neural networks |
| February 21 |
Lecture 3: Convolutional networks [PDF] Tutorial 3: Backpropagation |
| February 28 |
Lecture 4: Computer vision [PDF] Q&A session |
| March 6 |
Lecture 5: Training neural networks [PDF] Tutorial 4: Neural networks with PyTorch Project proposal |
| March 13 |
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| March 20 | Lecture 6: Recurrent neural networks [PDF] [Podcast] |
| March 27 | Lecture 7: Auto-encoders and generative models [PDF] [Podcast] |
| April 3 |
Lecture 8: Generative adversarial networks [PDF] [Podcast] Tutorial 5: Convolutional neural networks |
| April 10 |
Lecture 9: Uncertainty [PDF] [Podcast] Q&A session |
| April 24 |
Lecture 10: Deep reinforcement learning [PDF] [Podcast] (guest lecture) Reading assignment |
| May 1 | Q&A session (10:00 AM, Lifesize) |
| May 8 | Q&A session (10:00 AM, Lifesize) |
| May 15 | Q&A session (10:00 AM, Lifesize) |
| May 22 | Project code and report |