How does back propagation works through layers like maxpooling and padding?
38573
Back-propagation through max pooling layers
10855
How to use early stopping properly for training deep neural network?
120166
How to correctly use validation and test sets for Neural Network training?
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
58515
dropout: forward prop VS back prop in machine learning Neural Network
119698
Why are bias nodes used in neural networks?
135655
Using (leaky) ReLU as an activation function
102350
Cost function of neural network is non-convex?
95485
Does ReLU layer work well for a shallow network?
136852
Convolution operator in CNN and how it differs from feed forward NN operation?
19651
What are the advantages of ReLU over sigmoid function in deep neural networks?
75838
Understanding batch normalization
16503
is there any diffrence to use nonlinear or liner activation function in single hidden layer network
58402
Importance of the bias node in neural networks
31073
"Hidden layer sizes" vs "Hidden layers sizes"
112504
How to set the number of neurons and layers in neural networks
92745
How does an LSTM process sequences longer than its memory?