layer_concatenate

A list of input tensors (at least 2). Can be missing.

inputs

axis

Standard layer arguments (must be named).

It takes as input a list of tensors, all of the same shape expect for the
concatenation axis, and returns a single tensor, the concatenation of all
inputs.

Interface to 'Keras' <https://keras.io>, a high-level neural
networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

Tomasz Kalinowski

keras

R Interface to 'Keras'

Daniel Falbel

JJ Allaire

François Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

layer_concatenate function

<dl><dt>inputs</dt>
<dd>A list of input tensors (at least 2). Can be missing.</dd>
<dt>axis</dt>
<dd>Concatenation axis.</dd>
<dt>...</dt>
<dd>Standard layer arguments (must be named).</dd></dl>

Arguments

Layer that concatenates a list of inputs. — layer_concatenate

<dl>

<dt>inputs</dt>
<dd>A list of input tensors (at least 2). Can be missing.</dd>


<dt>axis</dt>
<dd>Concatenation axis.</dd>


<dt>...</dt>
<dd>Standard layer arguments (must be named).</dd>

</dl>

Layer that concatenates a list of inputs.

Interface to 'Keras', a high-level neural networks API which
runs on top of TensorFlow. 'Keras' was developed with a focus on enabling
fast experimentation, supports both convolutional networks and recurrent
networks (as well as combinations of the two), and seamlessly on both CPUs
and GPUs.

layer_concatenate: Layer that concatenates a list of inputs.

Description

Usage

Value

Arguments

See Also