tf.keras.models.model_from_json

Parses a JSON model configuration string and returns a model instance.

tf.keras.models.model_from_json(
    json_string, custom_objects=None
)

Example:

model = keras.Sequential([
    keras.layers.Dense(5, input_shape=(3,)),
    keras.layers.Softmax()])
config = model.to_json()
loaded_model = keras.models.model_from_json(config)

Args
json_string	JSON string encoding a model configuration.
custom_objects	Optional dictionary mapping names (strings) to custom classes or functions to be considered during deserialization.

Returns
A Keras model instance (uncompiled).