k_function

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_function function

<dl><dt>inputs</dt>
<dd>List of placeholder tensors.</dd>
<dt>outputs</dt>
<dd>List of output tensors.</dd>
<dt>updates</dt>
<dd>List of update ops.</dd>
<dt>...</dt>
<dd>Named arguments passed to <code>tf$Session$run</code>.</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

Instantiates a Keras function — k_function

<dl>

<dt>inputs</dt>
<dd>List of placeholder tensors.</dd>


<dt>outputs</dt>
<dd>List of output tensors.</dd>


<dt>updates</dt>
<dd>List of update ops.</dd>


<dt>...</dt>
<dd>Named arguments passed to <code>tf$Session$run</code>.</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_function: Instantiates a Keras function

Description

Usage

Value

Arguments

Keras Backend