Keras k fold

Keras K-fold refers to implementing K-Fold cross-validation techniques within a Keras/TensorFlow deep learning pipeline. It utilizes helper utilities (like Scikit-Learn"s `KFold` splitter) to segment a dataset into $K$ distinct folds, systematically training and validating the model to prevent overfitting.