Removing the dependency on training set size in L2 regularization in neural networks
130956
Should we average weight decay loss in neural network?
149876
Dimensions of Scale (Gamma) and Offset (Beta) in Batch Norm
103939
Why doesn't regularization solve Deep Neural Nets hunger for data?
139196
Is there a way to 'compress' an lm() object for later prediction?
82239
Accuracy in neural network for regression
72361
What is the connection between regularization and the method of lagrange multipliers ?
73225
local minima vs saddle points in deep learning
105631
Tensors in neural network literature: what's the simplest definition out there?
133566
Deep Neural Network weight initialization
79824
Varied Activation Functions in Neural Networks
142784
For linear classifiers, do larger coefficients imply more important features?
80741
Constrain a Neural Network to be monotonic?
58515
dropout: forward prop VS back prop in machine learning Neural Network
143614
Dropout: scaling the activation versus inverting the dropout
61575
Ridge, lasso and elastic net
98554
Deep NNs, backpropagation and error calculation
56397
Why do smaller weights result in simpler models in regularization?