Is it possible to use variational autoencoders with Non-Gaussian data?
129771
Reparametrization trick with non-Gaussian distributions?
133566
Deep Neural Network weight initialization
105631
Tensors in neural network literature: what's the simplest definition out there?
142959
Do we still need to do feature selection while using Regularization algorithms?
156166
PCA of non-Gaussian data
145878
Overfitting on the loss graph, but not the accuracy graph
109966
How does the Adam method of stochastic gradient descent work?
139196
Is there a way to 'compress' an lm() object for later prediction?
44176
Deep Learning for Regression
17893
How do I show that the mean of the posterior density minimizes this squared error loss function?
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
54989
Why is binary cross entropy (or log loss) used in autoencoders for non-binary data
94990
mgcv: Extract Knot Locations for `tp` smooth from a GAM model
49652
Generating random variables from a mixture of Normal distributions
38690
Why are non zero-centered activation functions a problem in backpropagation?
73225
local minima vs saddle points in deep learning
44881
Using lasso for feature selection, followed by a non-regularized regression