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reading:reference_material [2017/09/14 02:18] – created yangreading:reference_material [2017/09/14 02:56] (current) – yang
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-=== Deep Learning === +Please add links to reference materials, extra readings or other helpful resources related to the reading group discussion below. 
  
-== Chp 7: Regularization for deep learning ==+ 
 +===== 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.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)   * [[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)
  
  
reading/reference_material.1505369911.txt.gz · Last modified: 2017/09/14 02:18 by yang