tf.keras.callbacks. Model Checkpoint

GPTKB entity

Predicate	Object
gptkbp:instance_of	gptkb:Model
gptkbp:belongs_to	tf.keras.callbacks
gptkbp:can	True or False training metrics
gptkbp:can_be_combined_with	gptkb:Reduce_LROn_Plateau gptkb:board_game Early Stopping
gptkbp:can_be_configured_for	callback parameters custom callbacks
gptkbp:can_be_used_to	restore best model resume training
gptkbp:can_be_used_with	Keras models Tensor Flow models
gptkbp:can_save_to	Checkpoint format Tensor Flow Saved Model format HDF5 format
gptkbp:captures	model architecture model weights training configuration
gptkbp:has_been_restored	model state
gptkbp:has_function	gptkb:monitor gptkb:video_game filepath save_best_only save_weights_only verbose
https://www.w3.org/2000/01/rdf-schema#label	tf.keras.callbacks. Model Checkpoint
gptkbp:is_available_on	gptkb:Tensor_Flow_2.0
gptkbp:is_compatible_with	gptkb:Keras_Functional_models gptkb:Keras_Sequential_models gptkb:Tensor_Flow_Estimators custom training loops
gptkbp:is_implemented_in	gptkb:Python
gptkbp:is_often_used_in	deep learning
gptkbp:is_part_of	gptkb:API model training process model checkpointing strategy
gptkbp:is_used_for	model versioning model deployment saving model during training
gptkbp:is_used_in	model evaluation fit method Keras training loop
gptkbp:monitors	validation loss training loss training accuracy validation accuracy
gptkbp:bfsParent	gptkb:Tensor_Flow
gptkbp:bfsLayer	4