reexports

import

dict

tuple

np_array

array_reshape

iterate

%as%

use_python

use_virtualenv

use_condaenv

flags

flag_numeric

flag_integer

flag_string

flag_boolean

run_dir

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/import?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::import">import</a></code>, <code><a rd-options="reticulate" href="/link/dict?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::dict">dict</a></code>, <code><a rd-options="reticulate" href="/link/tuple?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::tuple">tuple</a></code>, <code><a rd-options="reticulate" href="/link/np_array?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::np_array">np_array</a></code>, <code><a rd-options="reticulate" href="/link/array_reshape?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::array_reshape">array_reshape</a></code>, <code><a rd-options="reticulate" href="/link/iterate?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::iterate">iterate</a></code>, <code><a rd-options="reticulate" href="/link/%25as%25?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::%as%">%as%</a></code>, <code><a rd-options="reticulate" href="/link/use_python?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::use_python">use_python</a></code>, <code><a rd-options="reticulate" href="/link/use_virtualenv?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::use_virtualenv">use_virtualenv</a></code>, <code><a rd-options="reticulate" href="/link/use_condaenv?package=tensorflow&version=1.10&to=reticulate" data-mini-rdoc="reticulate::use_condaenv">use_condaenv</a></code></dd><dt>tfruns</dt><dd><code><a rd-options="tfruns" href="/link/flags?package=tensorflow&version=1.10&to=tfruns" data-mini-rdoc="tfruns::flags">flags</a></code>, <code><a rd-options="tfruns" href="/link/flag_numeric?package=tensorflow&version=1.10&to=tfruns" data-mini-rdoc="tfruns::flag_numeric">flag_numeric</a></code>, <code><a rd-options="tfruns" href="/link/flag_integer?package=tensorflow&version=1.10&to=tfruns" data-mini-rdoc="tfruns::flag_integer">flag_integer</a></code>, <code><a rd-options="tfruns" href="/link/flag_string?package=tensorflow&version=1.10&to=tfruns" data-mini-rdoc="tfruns::flag_string">flag_string</a></code>, <code><a rd-options="tfruns" href="/link/flag_boolean?package=tensorflow&version=1.10&to=tfruns" data-mini-rdoc="tfruns::flag_boolean">flag_boolean</a></code>, <code><a rd-options="tfruns" href="/link/run_dir?package=tensorflow&version=1.10&to=tfruns" data-mini-rdoc="tfruns::run_dir">run_dir</a></code></dd>
</dl>

internal

Interface to 'TensorFlow' <https://www.tensorflow.org/>,
an open source software library for numerical computation using data
flow graphs. Nodes in the graph represent mathematical operations,
while the graph edges represent the multidimensional data arrays
(tensors) communicated between them. The flexible architecture allows
you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop,
server, or mobile device with a single 'API'. 'TensorFlow' was originally
developed by researchers and engineers working on the Google Brain Team
within Google's Machine Intelligence research organization for the
purposes of conducting machine learning and deep neural networks research,
but the system is general enough to be applicable in a wide variety
of other domains as well.

reexports: Objects exported from other packages

Description

Arguments