KerasLayer

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.

Daniel Falbel

keras

R Interface to 'Keras'

JJ Allaire

Fran<c3><a7>ois Chollet

 RStudio

 Google

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

KerasLayer function

An <a rd-options="" href="/link/R6Class?package=keras&version=2.3.0.0" data-mini-rdoc="keras::R6Class">R6Class</a> generator object #'

Format

<dl class="dl-horizontal">
<dt><code>build(input_shape)</code></dt><dd>Creates the
layer weights (must be implemented by all layers that have weights)</dd>
<dt><code>call(inputs,mask)</code></dt><dd>Call the layer on an input tensor.</dd>
<dt><code>compute_output_shape(input_shape)</code></dt><dd>Compute the output shape
for the layer.</dd>
<dt><code>add_loss(losses, inputs)</code></dt><dd>Add losses to the layer.</dd>
<dt><code>add_weight(name,shape,dtype,initializer,regularizer,trainable,constraint)</code></dt><dd>Adds
a weight variable to the layer.</dd> </dl>

Methods

Base R6 class for Keras layers — KerasLayer

An <a rd-options='' href='R6Class'>R6Class</a> generator object #'

<dl class='dl-horizontal'>
<dt><code>build(input_shape)</code></dt><dd>Creates the
layer weights (must be implemented by all layers that have weights)</dd>
<dt><code>call(inputs,mask)</code></dt><dd>Call the layer on an input tensor.</dd>
<dt><code>compute_output_shape(input_shape)</code></dt><dd>Compute the output shape
for the layer.</dd>
<dt><code>add_loss(losses, inputs)</code></dt><dd>Add losses to the layer.</dd>
<dt><code>add_weight(name,shape,dtype,initializer,regularizer,trainable,constraint)</code></dt><dd>Adds
a weight variable to the layer.</dd> </dl>

KerasLayer: Base R6 class for Keras layers

Description

Arguments

Value

Format

Methods