How does k-fold cross validation overcome overfitting in deep neural networks?
17831
Training on the full dataset after cross-validation?
38573
Back-propagation through max pooling layers
18820
For imbalanced classification, should the validation dataset be balanced?
98111
Sigmoid vs Relu function in Convnets
79991
Why second order SGD convergence methods are unpopular for deep learning?
54989
Why is binary cross entropy (or log loss) used in autoencoders for non-binary data
37025
Choice of K in K-fold cross-validation
88139
Why binary crossentropy can be used as the loss function in autoencoders?
125349
Does the cross-entropy cost make sense in the context of regression?
25409
Why does k-fold cross validation generate an MSE estimator that has higher bias, but lower variance then leave-one-out cross-validation?
98554
Deep NNs, backpropagation and error calculation
29443
Cross Validation for mixed models?
24750
Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?
83655
Assumptions behind cross-validation
64707
Use of nested cross-validation
109966
How does the Adam method of stochastic gradient descent work?
98728
Random forest is overfitting?