Should I bin my continuous input variables for neural networks?
9080
What is the benefit of breaking up a continuous predictor variable?
9663
Is it a good practice to always scale/normalize data for machine learning?
65681
Should training data in each batch size be resample only one time or at each epoch when using mini-batch
13412
Motivating sigmoid output units in neural networks starting with unnormalized log probabilities linear in $z=w^Th+b$ and $\phi(z)$
79824
Varied Activation Functions in Neural Networks
86032
How to determine the confidence of a neural network prediction?
31297
Why do we use ReLU in neural networks and how do we use it?
145417
Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm?
44904
Neural Networks input data normalization and centering
58515
dropout: forward prop VS back prop in machine learning Neural Network
82239
Accuracy in neural network for regression
59364
Why should the data be shuffled for machine learning tasks
49535
Deep learning : How do I know which variables are important?
126800
Why do we use multiple epochs and why does it not lead to over fitting
45578
How to use both binary and continuous variables together in clustering?
50274
The neural network is not learning properly
7429
Why do neural network researchers care about epochs?