Are the training samples shuffled in minibatch gradient descent?
65681
Should training data in each batch size be resample only one time or at each epoch when using mini-batch
25409
Why does k-fold cross validation generate an MSE estimator that has higher bias, but lower variance then leave-one-out cross-validation?
78589
Why mini batch size is better than one single "batch" with all training data?
142843
Maximum gap between samples drawn without replacement from a discrete uniform distribution
145791
What is batch size in neural network?
137100
Validation: Data splitting into training vs. test datasets
138454
Determining sample size for ML algorithm validation
33141
Subsample of a random sample?
89077
Bootstrapped confidence intervals: different values at every computation?
20178
Ljung-Box finite sample adjustments
84504
Discrepancy between calculated and simulated error propagation
73225
local minima vs saddle points in deep learning
15390
Random test data: How to do it right?
135428
Weird correlations in the SVD results of random data; do they have a mathematical explanation or is it a LAPACK bug?
69324
The Gradient as a Row vs. Column Vector
111931
Sampling distribution of regression coefficients
4763
When generating samples using variational autoencoder, we decode samples from $N(0,1)$ instead of $\mu + \sigma N(0,1)$