How to deal with a mix of binary and continuous inputs in neural networks?
17160
How to recode categorical variable into numerical variable when using SVM or Neural Network
145791
What is batch size in neural network?
49535
Deep learning : How do I know which variables are important?
129280
Neural networks: why do we randomize the training set?
58515
dropout: forward prop VS back prop in machine learning Neural Network
6629
Find Neural Network Inputs Given Outputs
105631
Tensors in neural network literature: what's the simplest definition out there?
91448
Should I normalize all data prior feeding the neural network models?
59720
What are appropriate methods for preparing categorical features for recurrent networks to ensure efficient backpropagation?
137100
Validation: Data splitting into training vs. test datasets
38573
Back-propagation through max pooling layers
91880
Suggestions for cost-sensitive learning in a highly imbalanced setting
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
62842
Most common method for deciding when to stop training a neural net on a batch
74904
Random initialization/order in neural network — bias or variance?
12304
State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence