tf.keras.models.load

TensorFlow 1 version

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

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.models.model_from_json

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

Used in the notebooks

Used in the guide
Save and load Keras models

Usage:

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

Arguments
`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).

TensorFlow

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tf.keras / models / models.load_model

View aliases

Used in the notebooks

Usage:

Arguments

Returns