Module: tf.keras.models
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Modules
experimental
module
Classes
class Model
: A model grouping layers into an object with training/inference features.
class Sequential
: Sequential
groups a linear stack of layers into a tf.keras.Model
.
Functions
clone_model(...)
: Clone a Functional or Sequential Model
instance.
load_model(...)
: Loads a model saved via model.save()
.
model_from_config(...)
: Instantiates a Keras model from its config.
model_from_json(...)
: Parses a JSON model configuration string and returns a model instance.
model_from_yaml(...)
: Parses a yaml model configuration file and returns a model instance.
save_model(...)
: Saves a model as a TensorFlow SavedModel or HDF5 file.
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# Module: tf.keras.models\n\n\u003cbr /\u003e\n\nModules\n-------\n\n[`experimental`](../../tf/keras/models/experimental) module\n\nClasses\n-------\n\n[`class Model`](../../tf/keras/Model): A model grouping layers into an object with training/inference features.\n\n[`class Sequential`](../../tf/keras/Sequential): `Sequential` groups a linear stack of layers into a [`tf.keras.Model`](../../tf/keras/Model).\n\nFunctions\n---------\n\n[`clone_model(...)`](../../tf/keras/models/clone_model): Clone a Functional or Sequential `Model` instance.\n\n[`load_model(...)`](../../tf/keras/saving/load_model): Loads a model saved via `model.save()`.\n\n[`model_from_config(...)`](../../tf/keras/models/model_from_config): Instantiates a Keras model from its config.\n\n[`model_from_json(...)`](../../tf/keras/models/model_from_json): Parses a JSON model configuration string and returns a model instance.\n\n[`model_from_yaml(...)`](../../tf/keras/models/model_from_yaml): Parses a yaml model configuration file and returns a model instance.\n\n[`save_model(...)`](../../tf/keras/saving/save_model): Saves a model as a TensorFlow SavedModel or HDF5 file."]]