tf.keras.layers.PReLU

TensorFlow 1 version

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Repeats the input n times.

Inherits From: Layer, Module

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.RepeatVector

tf.keras.layers.RepeatVector(
    n, **kwargs
)

Example:

model = Sequential()
model.add(Dense(32, input_dim=32))
# now: model.output_shape == (None, 32)
# note: `None` is the batch dimension

model.add(RepeatVector(3))
# now: model.output_shape == (None, 3, 32)

Arguments
`n`	Integer, repetition factor.

Input shape:

2D tensor of shape (num_samples, features).

Output shape:

3D tensor of shape (num_samples, n, features).

TensorFlow

tf

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tf.config

tf.data

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tf.errors

tf.estimator

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tf.graph_util

tf.image

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tf.io

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tf.lookup

tf.losses

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tf.metrics

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tf.quantization

tf.queue

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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.PReLU

View aliases

Example:

Arguments

Input shape:

Output shape: