Basic Layout: Data Processing to take an intervals file to create a train and validation split Model creation for a few kinds of TF binding models Custom Losses which are defined to work with various kinds of losses Trainers which have been added , which will define a mini epochm a batch size, training update , early stopping condition and save the best model
manyu90 / tf_binding_tensorflow Goto Github PK
View Code? Open in Web Editor NEWTF binding implemented with tensorflow flexibility+Keras simplicity