DLB
Chapter
1. Introduction
2. Linear Algebra
3. Probability and Information Theory
4. Numerical Computation
5. Machine Learning Basics
6. Deep Feedforward Networks
7. Regularization for Deep Learning
8. Optimization for Training Deep Models
9. Convolutional Networks
10. Sequence Modeling, Recurrent and Recursive Nets
11. Practical Methodology
12. Applications
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2
3
4
5
6
7
8
9
10
11
12
딥러닝북 한글 정리 페이지 개설
Nov 26, 2016
딥러닝북 정리 페이지를 개설하였습니다.
정리 페이지 형식은
http://github.com/norman3/prml
을 참고하였습니다.
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