Module: tf.keras.layers.experimental

Public API for tf.keras.layers.experimental namespace.

Modules

preprocessing module: Public API for tf.keras.layers.experimental.preprocessing namespace.

Classes

class EinsumDense: A layer that uses tf.einsum as the backing computation.

class RandomFourierFeatures: Layer that projects its inputs into a random feature space.

class SyncBatchNormalization: Normalize and scale inputs or activations synchronously across replicas.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/layers/experimental