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keras callbacks learning rate scheduler

Georgiy Kantsedal answered on March 19, 2022 Popularity 8/10 Helpfulness 9/10

answer keras callbacks learning rate scheduler

keras callbacks learning rate scheduler

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def scheduler(epoch, lr):
	if epoch < 10:
		return lr
	else:
		return lr * tf.math.exp(-0.1)
callback = tf.keras.callbacks.LearningRateScheduler(scheduler)
model.fit(np.arange(100).reshape(5, 20), np.zeros(5),
	epochs=15, callbacks=[callback], verbose=0)

Popularity 8/10 Helpfulness 9/10 Language python

Source: Grepper

Tags: keras learning-rate python scheduler

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Contributed on Mar 19 2022

Georgiy Kantsedal

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keras callbacks learning rate scheduler

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