keras (version 2.2.4)

callback_lambda: Create a custom callback

Description

This callback is constructed with anonymous functions that will be called at the appropriate time. Note that the callbacks expects positional arguments, as:

• on_epoch_begin and on_epoch_end expect two positional arguments: epoch, logs

• on_batch_begin and on_batch_end expect two positional arguments: batch, logs

• on_train_begin and on_train_end expect one positional argument: logs

Usage

callback_lambda(on_epoch_begin = NULL, on_epoch_end = NULL,
  on_batch_begin = NULL, on_batch_end = NULL, on_train_begin = NULL,
  on_train_end = NULL)

Arguments

on_epoch_begin

called at the beginning of every epoch.

on_epoch_end

called at the end of every epoch.

on_batch_begin

called at the beginning of every batch.

on_batch_end

called at the end of every batch.

on_train_begin

called at the beginning of model training.

on_train_end

called at the end of model training.

See Also

Other callbacks: callback_csv_logger, callback_early_stopping, callback_learning_rate_scheduler, callback_model_checkpoint, callback_progbar_logger, callback_reduce_lr_on_plateau, callback_remote_monitor, callback_tensorboard, callback_terminate_on_naan