Help protect the Great Barrier Reef with TensorFlow on Kaggle Join Challenge


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

Used in the notebooks

Used in the guide


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

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.

A Keras model instance (uncompiled).