tf.keras.layers.Dot

TensorFlow 1 version

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Exponential Linear Unit.

Inherits From: Layer, Module

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.ELU

tf.keras.layers.ELU(
    alpha=1.0, **kwargs
)

It follows:

  f(x) =  alpha * (exp(x) - 1.) for x < 0
  f(x) = x for x >= 0

Input shape:

Arbitrary. Use the keyword argument input_shape (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model.

Output shape:

Same shape as the input.

Arguments
`alpha`	Scale for the negative factor.

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

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tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

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tf.nest

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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 / layers / layers.Dot

View aliases

It follows:

Input shape:

Output shape:

Arguments