Please add links to reference materials, extra readings or other helpful resources related to the reading group discussion below. 


===== Deep Learning ===== 
=== General links ===
  * [[http://neuralnetworksanddeeplearning.com/ ]]: online tutorial 

=== Chp 7: Regularization for deep learning ===
  * [[http://www.jmlr.org/papers/volume15/srivastava14a/srivastava14a.pdf | Drop-out: A Simple Way to Prevent Neural Networks from Overfitting]] by Srivastava et al. (Demonstrates the regularization effect of drop-out )
  * [[http://www.uta.edu/faculty/rcli/Teaching/math5392/papers/scdv2000.pdf | Transformation Invariance in Pattern Recognition: Tangent Distance and Propagation]] by Simard et al. (Details on the tangent distance and tangent prop algorithms)