deep learning resources

Author: rasbt

README.md

@@ -86,6 +86,7 @@ Excerpts from the [Foreword](./docs/foreword_ro.pdf) and [Preface](./docs/prefac
 - [What factors should I consider when choosing a predictive model technique?](./faq/choosing-technique.md)
 - [Does regularization in logistic regression always results in better fit and better generalization?](./faq/regularized-logistic-regression-performance.md)
 - [How was classification, as a learning machine, developed?](./faq/classifier-history.md)
+- [What are some good books/papers for learning deep learning?](./faq/deep-learning-resources.md)
 
 ### Questions about the Book
 

faq/README.md

@@ -28,6 +28,7 @@ Sebastian
 - [What factors should I consider when choosing a predictive model technique?](./choosing-technique.md)
 - [Does regularization in logistic regression always results in better fit and better generalization?](./regularized-logistic-regression-performance.md)
 - [How was classification, as a learning machine, developed?](./classifier-history.md)
+- [What are some good books/papers for learning deep learning?](./deep-learning-resources.md) 
 
 ### Questions about the Book
 

faq/deep-learning-resources.md

@@ -0,0 +1,11 @@
+# What are some good books/papers for learning deep learning?
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+
+A good overview and introduction is the recent deep learning review published in Nature (http://www.nature.com/nature/journal/v521/n7553/full/nature14539.html); it references a lot of useful literature to follow up on
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+- LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep learning." Nature521.7553 (2015): 436-444.
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+
+As a good textbook resource, I would like to recommend Yoshua Bengio's upcoming "Deep Learning" book. The book is freely accessible at: http://goodfeli.github.io/dlbook/
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+- Bengio, Yoshua, Ian Goodfellow, and Aaron Courville. "Deep learning." An MIT Press book in preparation. Draft chapters available at http://www. iro. umontreal. ca/∼ bengioy/dlbook (2014).