How to use 'keras copy model' in Python

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abhijitmajumdar/Reinforcement_Learning_Car_Simulator

123 def clone_network(self,src_model):
124     return keras.models.Sequential.from_config(src_model.get_config())

wau/keras-rl2

9 def clone_model(model, custom_objects={}):
10     # Requires Keras 1.0.7 since get_config has breaking changes.
11     config = {
12         'class_name': model.__class__.__name__,
13         'config': model.get_config(),
14     }
15     clone = model_from_config(config, custom_objects=custom_objects)
16     clone.set_weights(model.get_weights())
17     return clone

123	def clone_network(self,src_model):
124	return keras.models.Sequential.from_config(src_model.get_config())

9	def clone_model(model, custom_objects={}):
10	# Requires Keras 1.0.7 since get_config has breaking changes.
11	config = {
12	'class_name': model.__class__.__name__,
13	'config': model.get_config(),
14	}
15	clone = model_from_config(config, custom_objects=custom_objects)
16	clone.set_weights(model.get_weights())
17	return clone

How to use 'keras copy model' in Python

All examples are scanned by Snyk Code

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