backend

<code>TRUE</code> to automatically convert Python objects to their R
equivalent. If you pass <code>FALSE</code> you can do manual conversion using the
<code><a rd-options="reticulate:py_to_r" href="/link/py_to_r()?package=keras&version=2.3.0.0&to=reticulate%3Apy_to_r" data-mini-rdoc="reticulate:py_to_r::py_to_r()">py_to_r()</a></code> function.

convert

Obtain a reference to the <code>keras.backend</code> Python module used to implement
tensor operations.

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

backend function

<code>TRUE</code> to automatically convert Python objects to their R
equivalent. If you pass <code>FALSE</code> you can do manual conversion using the
<code><a rd-options='reticulate:py_to_r' href='py_to_r()'>py_to_r()</a></code> function.

Keras backend tensor engine — backend

Keras backend tensor engine

backend: Keras backend tensor engine

Description

Usage

Arguments

Value