# Module: tf.keras.models

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## Modules

[`experimental`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/models/experimental) module

## Classes

[`class Model`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/Model): A model grouping layers into an object with training/inference features.

[`class Sequential`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/Sequential): `Sequential` groups a linear stack of layers into a [`tf.keras.Model`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/Model).

## Functions

[`clone_model(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/models/clone_model): Clone a Functional or Sequential `Model` instance.

[`load_model(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/saving/load_model): Loads a model saved via `model.save()`.

[`model_from_config(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/models/model_from_config): Instantiates a Keras model from its config.

[`model_from_json(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/models/model_from_json): Parses a JSON model configuration string and returns a model instance.

[`model_from_yaml(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/models/model_from_yaml): Parses a yaml model configuration file and returns a model instance.

[`save_model(...)`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/keras/saving/save_model): Saves a model as a TensorFlow SavedModel or HDF5 file.