How does LSTM learn
12304
State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
93143
Why do we need autoencoders?
15728
How to use a a trained model
44851
How does the brain know where a signal came from? What is the addressing system
151892
How do you visualize neural network architectures?
83377
Deep learning model (LSTM) with temporal and non temporal attributes
123358
What does the hidden layer in a neural network compute?
139196
Is there a way to 'compress' an lm() object for later prediction?
58515
dropout: forward prop VS back prop in machine learning Neural Network
112504
How to set the number of neurons and layers in neural networks
122549
decision boundary of perceptron too small
122194
How many parameters are in a gated recurrent unit (GRU) recurrent neural network (RNN) layer?
6914
Why are neural networks becoming deeper, but not wider?
135825
What are the advantages of stacking multiple LSTMs?
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
16503
is there any diffrence to use nonlinear or liner activation function in single hidden layer network
58793
Why can't a single ReLU learn a ReLU?