early_stopping_cb = tf.keras.callbacks.EarlyStopping(patience=config["earlystopping_patience"])
checkpoint_cb = tf.keras.callbacks.ModelCheckpoint("model_cb.keras",save_best_only=True)
logs = "logs/" + datetime.datetime.now().strftime("%Y%m%d-%H%M%S")
tensorboard_cb = tf.keras.callbacks.TensorBoard(log_dir = logs,
                                                 histogram_freq = 1,
                                                 profile_batch = '500,520')

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