Loss and dropout in deep learning
6048
What should I do when my neural network doesn't learn?
94250
Comprehensive list of activation functions in neural networks with pros/cons
98111
Sigmoid vs Relu function in Convnets
23038
Expected value notation in GAN loss
73225
local minima vs saddle points in deep learning
109735
What is the difference between convolutional neural networks and deep learning?
26355
Guideline to select the hyperparameters in Deep Learning
16209
Importance of optimizing the correct loss function
151342
Is there an optimal loss function for dealing with imbalanced classes?
117722
Interplay between early stopping and cross validation
120166
How to correctly use validation and test sets for Neural Network training?
137086
Can Convolution Neural Network be useful with encoded categorical features?
84451
Role derivative of sigmoid function in neural networks
60956
Difference of Activation Functions in Neural Networks in general
22203
Data normalization and standardization in neural networks
109966
How does the Adam method of stochastic gradient descent work?
41097
Is there any supervised-learning problem that (deep) neural networks obviously couldn't outperform any other methods?