2018/06/27 TanJiyong, 2020/10/28 Arjun Krishna-University of Waterloo
Chapter 1 Mathematical Foundation 1
Chapter 2 Fundamentals of Machine Learning 14
Chapter 3 Fundamentals of Deep Learning 88
Chapter 4 Classic Network 129
Chapter 5 Convolutional Neural Network (CNN) 170
Chapter 6 Cyclic Neural Network (RNN) 218
Chapter 7 Target Detection 228
Chapter 8 Image Segmentation 269
Chapter 9 Reinforcement Learning 301
Chapter 10 Migration Learning 309
Chapter 13 Optimization Algorithm 314
Chapter 14 Super Parameter Adjustment 358
Chapter 15 Heterogeneous Computing, GPU and Frame Selection Guide 361
https://github.com/scutan90/DeepLearning-500-questions/tree/master/English%20version?fbclid=IwAR3NM89GcXTdjtGf-N_f4zeaWQ3QvK-_EYM4Ar26_6wb0o3QDusap-6fAKM