Using K-Fold Cross Validation with Keras (5.2)

K-Fold cross validation is an important technique for deep learning. This video introduces regular k-fold cross validation for regression, as well as stratified k-fold for classification. Cross-validation can be used for a wide array of tasks, such as error estimation, early stopping, and hyper-parameter optimization. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_05_2_kfold.ipynb Course Homepage: https://sites.wustl.edu/jeffheaton/t81-558/ Follow Me/Subscribe: https://www.youtube.com/user/HeatonResearch https://github.com/jeffheaton https://twitter.com/jeffheaton Support Me on Patreon: https://www.patreon.com/jeffheaton