Why does deep learning work?

Learning Deep Architectures for AI By Yoshua Bengio

http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf

https://deeplearning4j.org/restrictedboltzmannmachine

https://stats385.github.io/readings

Neural Network Design 2nd Edtion

http://hagan.okstate.edu/NNDesign.pdf#page=469

Visualizing and Understanding Convolutional Networks

https://arxiv.org/pdf/1311.2901v3.pdf

Why does deep and cheap learning work so well?∗

https://arxiv.org/pdf/1608.08225.pdf

Harmonic Analysis of Neural Networks

https://statweb.stanford.edu/~candes/papers/Harm_Net.pdf

A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction Thomas Wiatowski and Helmut Bo ̈lcskei Dept. IT & EE, ETH Zurich, Switzerland September 2, 2016
https://arxiv.org/pdf/1512.06293.pdf

https://distill.pub/2016/handwriting/

https://www.quora.com/How-far-along-are-we-in-the-understanding-of-why-deep-learning-works

https://medium.com/intuitionmachine/the-holographic-principle-and-deep-learning-52c2d6da8d9

Two good papers on the subject:  Identifying and attacking the saddle point problem in high-dimensional non-convex optimization (NIPS'2014) andThe loss surface of multilayer networks (AISTATS'2015).

http://uschmajew.ins.uni-bonn.de/research/pub/uschmajew/bsu15preprint_rev.pdf

https://www.quora.com/How-does-deep-learning-work-and-how-is-it-different-from-normal-neural-networks-applied-with-SVM-How-does-one-go-about-starting-to-understand-them-papers-blogs-articles

Why does deep and cheap learning work so well?∗

https://arxiv.org/pdf/1608.08225.pdf

https://www.technologyreview.com/s/602344/the-extraordinary-link-between-deep-neural-networks-and-the-nature-of-the-universe/

https://www.quora.com/How-does-deep-learning-work-and-how-is-it-different-from-normal-neural-networks-applied-with-SVM-How-does-one-go-about-starting-to-understand-them-papers-blogs-articles

https://www.quora.com/Why-does-deep-learning-work-so-well-in-the-real-world

http://motls.blogspot.com/2015/03/quantum-gravity-from-quantum-error.html

https://arxiv.org/pdf/1407.6552v2.pdf Advances on Tensor Network Theory: Symmetries, Fermions, Entanglement, and Holography

http://uschmajew.ins.uni-bonn.de/research/pub/uschmajew/bsu15preprint_rev.pdf

Putting back the pieces of a broken hologram
It is Monday afternoon and the day seems to be a productive one, if not yet quite memorable. As I revise some notes on…quantumfrontiers.com

https://perimeterinstitute.ca/conferences/quantum-machine-learning

https://arxiv.org/abs/1704.01552v1

[1404.7828] Deep Learning in Neural Networks: An Overview

Richard Socher - Deep Learning Tutorial