TensorFlow 1 version | View source on GitHub |
Instantiates a layer from a config dictionary.
tf.keras.layers.deserialize(
config, custom_objects=None
)
Used in the notebooks
Used in the guide |
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Arguments | |
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config
|
dict of the form {'class_name': str, 'config': dict} |
custom_objects
|
dict mapping class names (or function names) of custom (non-Keras) objects to class/functions |
Returns | |
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Layer instance (may be Model, Sequential, Network, Layer...) |