【文件属性】：
文件名称：Deep Learning 入门书籍
文件大小：87MB
文件格式：RAR
更新时间：2021-02-22 13:45:10
Deep Learning圣经 深度学习 入门教程
Deep Learning书的教程，是入门深度学习的好资料。。。。。。。。。。。。。。。。。
【文件预览】：
入门书籍-Deep Learning######
----Table of Contents.pdf(70KB)
----Chapter 15 Representation Learning.pdf(1012KB)
----Chapter 4 Numerical Computation.pdf(378KB)
----Chapter 1 Introduction.pdf(844KB)
----Deep Learning.pdf(218KB)
----Chapter 6 DeepFeedforwardNetworks.pdf(889KB)
----Chapter 17 Monte Carlo Methods.pdf(329KB)
----Chapter 8 Optimization for Training DeepModels.pdf(744KB)
----Chapter 20 Deep Generative Models.pdf(1.85MB)
----Chapter 13 Linear Factor Models.pdf(373KB)
----中文翻译()
--------深度学习.pdf(30.39MB)
--------深度学习 (2).pdf(30.39MB)
--------深度学习（3）.pdf(30.77MB)
----Chapter 10 Sequence Modeling-Recurrentand Recursive Nets.pdf(1.3MB)
----Bibliography.pdf(463KB)
----Chapter 5 Machine Learning Basics.pdf(1.72MB)
----Chapter 11Practical Methodology.pdf(289KB)
----Chapter 14 Autoencoders.pdf(843KB)
----Notation.pdf(93KB)
----Chapter 9 Convolutional Networks.pdf(1.24MB)
----Part III- Deep Learning Research.pdf(44KB)
----Chapter 18 Confronting the PartitionFunction.pdf(401KB)
----Chapter 16 Structured Probabilistic Modelsfor Deep Learning.pdf(1.55MB)
----PPT()
--------13_linear_factors.pdf(3.64MB)
--------11_practical.pdf(2.49MB)
--------14_autoencoders.pdf(8.59MB)
--------12_applications.pdf(4.09MB)
--------07_regularization.pdf(8.37MB)
--------sgd_and_cost_structure.pdf(3.41MB)
--------09_conv.pdf(20.22MB)
--------batch_norm.pdf(323KB)
--------04_numerical.pdf(4.35MB)
--------dls_2016.pdf(3.28MB)
--------02_linear_algebra.pdf(16.51MB)
--------05_ml.pdf(5.78MB)
--------06_mlp.pdf(8.2MB)
--------01_intro.pdf(3.22MB)
--------03_prob.pdf(18.87MB)
--------10_rnn.pdf(23.02MB)
----Chapter 7 RegularizationforDeepLearning.pdf(899KB)
----Chapter 2 LinearAlgebra.pdf(310KB)
----PartI AppliedMathandMachine.pdf(25KB)
----Index.pdf(89KB)
----Part II-Modern Practical Deep Networks.pdf(29KB)
----Acknowledgements.pdf(45KB)
----Chapter 3 Probability and InformationTheory.pdf(438KB)
----Chapter 12 Applications.pdf(755KB)
----Chapter 19 Approximate Inference.pdf(342KB)
----deeplearning书的练习exercises-master.zip(8KB)