Why do I have the same validation accuracy for every epoch?
6048
What should I do when my neural network doesn't learn?
121682
Standardize Training and Validation Data
78589
Why mini batch size is better than one single "batch" with all training data?
115455
What is the correct way to use train, validation and test set when comparing classifiers?
87457
With k-fold cross-validation, do you average all $k$ models to build the final model?
58792
Why would perfectly similar data have 0 mutual information?
156475
Validation Error less than training error?
84504
Discrepancy between calculated and simulated error propagation
94221
What causes sudden drops in training/test errors when training a neural network?
111170
Testing large dataset for normality - how and is it reliable?
144471
Epoch is not epoch if do a new Date(0L). Why?
40081
Why is the value of ErrorLevel not updating?
43277
Confused by (apparent) inconsistent precision
25409
Why does k-fold cross validation generate an MSE estimator that has higher bias, but lower variance then leave-one-out cross-validation?
156676
How to compare features and classifiers which achieve perfect accuracy?
9954
Why did sampling boost the performance of my model?
8703
How to apply standardization/normalization to train- and testset if prediction is the goal?