Am I approaching low probability events in my neural network correctly?
42256
Binary classification with strongly unbalanced classes
138385
Why does the first forward pass in a neural-network (NN) classification model computes to zero for all classes before final activation?
43932
Does the recurrent neural network require the length of input samples all the same
78093
Computation of likelihood when $n$ is very large, so likelihood gets very small?
68507
Random number generation and probability
38075
What is the trade-off between batch size and number of iterations to train a neural network?
6157
Should I round my uncertainty to nearest hundred?
114741
Probability of N unrelated events, each with different probabilities, what is the chance X number of outcomes occur
129280
Neural networks: why do we randomize the training set?
24672
Estimated probability looks too large, what I am doing wrong?
84469
Is there a thumb-rule for designing neural-networks?
102267
Adding very small probabilities - How to compute?
10993
What should I do when my neural network doesn't generalize well?
110802
Model selection with low N?
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
139822
Does the universal approximation theorem for neural networks hold for any activation function?
95485
Does ReLU layer work well for a shallow network?