A technique in cross-validation where the data is partitioned into k subsets (or "folds"), where the first k-1 folds are used for training and the last fold for evaluation.
I am new to pytorch and are trying to implement a feed forward neural network to classify the mnist data …
scikit-learn pytorch cross-validation mnist k-fold