Init.

pyrooka · Sep 10, 2017 · 2065a79 · 2065a79
commit 2065a79
Show file tree

Hide file tree

Showing 31 changed files with 5 additions and 0 deletions.
diff --git a/Chapters/1 Introduction.pdf b/Chapters/1 Introduction.pdf
diff --git a/Chapters/10 Sequence Modeling: Recurrent and Recursive Nets.pdf b/Chapters/10 Sequence Modeling: Recurrent and Recursive Nets.pdf
diff --git a/Chapters/11 Practical Methodology.pdf b/Chapters/11 Practical Methodology.pdf
diff --git a/Chapters/12 Applications.pdf b/Chapters/12 Applications.pdf
diff --git a/Chapters/13 Linear Factor Models.pdf b/Chapters/13 Linear Factor Models.pdf
diff --git a/Chapters/14 Autoencoders.pdf b/Chapters/14 Autoencoders.pdf
diff --git a/Chapters/15 Representation Learning.pdf b/Chapters/15 Representation Learning.pdf
diff --git a/Chapters/16 Structured Probabilistic Models for Deep Learning.pdf b/Chapters/16 Structured Probabilistic Models for Deep Learning.pdf
diff --git a/Chapters/17 Monte Carlo Methods.pdf b/Chapters/17 Monte Carlo Methods.pdf
diff --git a/Chapters/18 Confronting the Partition Function.pdf b/Chapters/18 Confronting the Partition Function.pdf
diff --git a/Chapters/19 Approximate Inference.pdf b/Chapters/19 Approximate Inference.pdf
diff --git a/Chapters/2 Linear Algebra.pdf b/Chapters/2 Linear Algebra.pdf
diff --git a/Chapters/20 Deep Generative Models.pdf b/Chapters/20 Deep Generative Models.pdf
diff --git a/Chapters/3 Probability and Information Theory.pdf b/Chapters/3 Probability and Information Theory.pdf
diff --git a/Chapters/4 Numerical Computation.pdf b/Chapters/4 Numerical Computation.pdf
diff --git a/Chapters/5 Machine Learning Basics.pdf b/Chapters/5 Machine Learning Basics.pdf
diff --git a/Chapters/6 Deep Feedforward Networks.pdf b/Chapters/6 Deep Feedforward Networks.pdf
diff --git a/Chapters/7 Regularization for Deep Learning.pdf b/Chapters/7 Regularization for Deep Learning.pdf
diff --git a/Chapters/8 Optimization for Training Deep Models.pdf b/Chapters/8 Optimization for Training Deep Models.pdf
diff --git a/Chapters/9 Convolutional Networks.pdf b/Chapters/9 Convolutional Networks.pdf
diff --git a/Chapters/Acknowledgements.pdf b/Chapters/Acknowledgements.pdf
diff --git a/Chapters/Bibliography.pdf b/Chapters/Bibliography.pdf
diff --git a/Chapters/Index.pdf b/Chapters/Index.pdf
diff --git a/Chapters/MIT-Deep-Learning.pdf b/Chapters/MIT-Deep-Learning.pdf
diff --git a/Chapters/Notation.pdf b/Chapters/Notation.pdf
diff --git a/Chapters/Part I: Applied Math and Machine Learning Basics.pdf b/Chapters/Part I: Applied Math and Machine Learning Basics.pdf
diff --git a/Chapters/Part II: Modern Practical Deep Networks.pdf b/Chapters/Part II: Modern Practical Deep Networks.pdf
diff --git a/Chapters/Part III: Deep Learning Research.pdf b/Chapters/Part III: Deep Learning Research.pdf
diff --git a/Chapters/Table of Contents.pdf b/Chapters/Table of Contents.pdf
diff --git a/MIT-Deep-Learning.pdf b/MIT-Deep-Learning.pdf
diff --git a/README.md b/README.md
@@ -0,0 +1,5 @@
+# [Deep Learning](http://www.deeplearningbook.org/)
+
+ An MIT Press book
+
+Ian Goodfellow and Yoshua Bengio and Aaron Courville