reexports

use_python

use_virtualenv

use_condaenv

install_tensorflow

tensorboard

tf_config

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>reticulate</dt><dd><code><a rd-options="reticulate" href="/link/use_python?package=keras&version=0.3.14&to=reticulate" data-mini-rdoc="reticulate::use_python">use_python</a></code>, <code><a rd-options="reticulate" href="/link/use_virtualenv?package=keras&version=0.3.14&to=reticulate" data-mini-rdoc="reticulate::use_virtualenv">use_virtualenv</a></code>, <code><a rd-options="reticulate" href="/link/use_condaenv?package=keras&version=0.3.14&to=reticulate" data-mini-rdoc="reticulate::use_condaenv">use_condaenv</a></code></dd><dt>tensorflow</dt><dd><code><a rd-options="tensorflow" href="/link/install_tensorflow?package=keras&version=0.3.14&to=tensorflow" data-mini-rdoc="tensorflow::install_tensorflow">install_tensorflow</a></code>, <code><a rd-options="tensorflow" href="/link/tensorboard?package=keras&version=0.3.14&to=tensorflow" data-mini-rdoc="tensorflow::tensorboard">tensorboard</a></code>, <code><a rd-options="tensorflow" href="/link/tf_config?package=keras&version=0.3.14&to=tensorflow" data-mini-rdoc="tensorflow::tf_config">tf_config</a></code></dd>
</dl>

internal

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 convolution based networks and recurrent
networks (as well as combinations of the two), and runs seamlessly on both
'CPU' and 'GPU' devices.

reexports: Objects exported from other packages

Description

Arguments