from tensorflow.keras.callbacks import ModelCheckpoint
from tensorflow.keras.callbacks import ReduceLROnPlateau
from tensorflow.keras.callbacks import TensorBoard
checkpoint = ModelCheckpoint("emotions.h5", monitor='accuracy', verbose=1,
save_best_only=True, mode='auto', period=1)
reduce = ReduceLROnPlateau(monitor='accuracy', factor=0.2, patience=10,
min_lr=0.0001, verbose = 1)
logdir='logs'
tensorboard_Visualization = TensorBoard(log_dir=logdir, histogram_freq=False)
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