k_get_session

k_set_session

If a default TensorFlow session is available, we will return it. Else, we
will return the global Keras session. If no global Keras session exists at
this point: we will create a new global session. Note that you can manually
set the global session via <code>k_set_session()</code>.

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

François Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

k_get_session function

<dl><dt>session</dt>
<dd>A TensorFlow Session.</dd></dl>

Arguments

This function is part of a set of Keras backend functions that enable
lower level access to the core operations of the backend tensor engine
(e.g. TensorFlow, CNTK, Theano, etc.).
You can see a list of all available backend functions here:
<a href="https://tensorflow.rstudio.com/reference/keras/index.html#backend">https://tensorflow.rstudio.com/reference/keras/index.html#backend</a>.

Keras Backend

TF session to be used by the backend. — k_get_session

<dl>

<dt>session</dt>
<dd>A TensorFlow Session.</dd>

</dl>

This function is part of a set of Keras backend functions that enable
lower level access to the core operations of the backend tensor engine
(e.g. TensorFlow, CNTK, Theano, etc.).
You can see a list of all available backend functions here:
<a href='https://tensorflow.rstudio.com/reference/keras/index.html#backend'>https://tensorflow.rstudio.com/reference/keras/index.html#backend</a>.

k_get_session: TF session to be used by the backend.

Description

Usage

Value

Arguments

Keras Backend