tf.keras.mixed_precision.experimental.Policy

TensorFlow 1 version

Code for model cloning, plus model-related API entries.

Classes

class Model: Model groups layers into an object with training and inference features.

class Sequential: Sequential groups a linear stack of layers into a tf.keras.Model.

Functions

clone_model(...): Clone any 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.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.keras / mixed_precision / mixed_precision.experimental.Policy

Classes

Functions