Created
January 4, 2021 06:47
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exponential decay with TensorFlow
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| initial_learning_rate = 0.1 | |
| lr_schedule = tf.keras.optimizers.schedules.ExponentialDecay( | |
| initial_learning_rate, | |
| decay_steps = 100000, | |
| decay_rate = 0.96, | |
| staircase = True) | |
| model.compile(optimizer=tf.keras.optimizers.SGD(learning_rate = lr_schedule), | |
| loss = 'sparse_categorical_crossentropy', | |
| metrics = ['accuracy']) |
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