layer_concatenate

A list of input tensors (at least 2).

inputs

axis

batch_size

The data type expected by the input, as a string (<code>float32</code>,
<code>float64</code>, <code>int32</code>...)

dtype

An optional name string for the layer. Should be unique in a
model (do not reuse the same name twice). It will be autogenerated if it
isn't provided.

name

Whether the layer weights will be updated during training.

trainable

weights

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.

JJ Allaire

keras

R Interface to 'Keras'

Fran<c3><a7>ois Chollet

 RStudio

 Google

Yuan Tang

Daniel Falbel

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

layer_concatenate function

Layer that concatenates a list of inputs. — layer_concatenate

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

Arguments

Value

See Also