backend

Boolean; should Python objects be automatically converted
to their R equivalent? If set to <code>FALSE</code>, you can still manually convert
Python objects to R via the <code><a rd-options="reticulate:r-py-conversion" href="/link/py_to_r()?package=keras&version=2.8.0&to=reticulate%3Ar-py-conversion" data-mini-rdoc="reticulate:r-py-conversion::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.

Tomasz Kalinowski

keras

R Interface to 'Keras'

Daniel Falbel

JJ Allaire

Fran<c3><a7>ois Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

backend function

Boolean; should Python objects be automatically converted
to their R equivalent? If set to <code>FALSE</code>, you can still manually convert
Python objects to R via the <code><a rd-options='reticulate:r-py-conversion' 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