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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 Lecture 6: Recurrent neural networks [PDF] (Cancelled) 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