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AdaBound optimizer in Keras

Project description

Keras AdaBound

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AdaBound optimizer in Keras.


pip install keras-adabound


Use the optimizer

from keras_adabound import AdaBound

model.compile(optimizer=AdaBound(lr=1e-3, final_lr=0.1), loss=model_loss)

Load with custom objects

from keras_adabound import AdaBound

model = keras.models.load_model(model_path, custom_objects={'AdaBound': AdaBound})

About weight decay

The optimizer does not have an argument named weight_decay (as in the official repo) since it can be done by adding L2 regularizers to weights:

import keras

regularizer = keras.regularizers.l2(WEIGHT_DECAY / 2)
for layer in model.layers:
    for attr in ['kernel_regularizer', 'bias_regularizer']:
        if hasattr(layer, attr) and layer.trainable:
            setattr(layer, attr, regularizer)

Project details

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