Public API for tf.keras.layers.experimental namespace.
preprocessing
module: Public API for tf.keras.layers.experimental.preprocessing namespace.
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.
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/layers/experimental