k_dropout

Sets entries in <code>x</code> to zero at random, while scaling the entire tensor.

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_dropout function

<dl><dt>x</dt>
<dd>tensor</dd>
<dt>level</dt>
<dd>fraction of the entries in the tensor that will be set to 0.</dd>
<dt>noise_shape</dt>
<dd>shape for randomly generated keep/drop flags, must be
broadcastable to the shape of <code>x</code></dd>
<dt>seed</dt>
<dd>random seed to ensure determinism.</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

Sets entries in x to zero at random, while scaling the entire tensor. — k_dropout

<dl>

<dt>x</dt>
<dd>tensor</dd>


<dt>level</dt>
<dd>fraction of the entries in the tensor that will be set to 0.</dd>


<dt>noise_shape</dt>
<dd>shape for randomly generated keep/drop flags, must be
broadcastable to the shape of <code>x</code></dd>


<dt>seed</dt>
<dd>random seed to ensure determinism.</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_dropout: Sets entries in `x` to zero at random, while scaling the entire tensor.

Description

Usage

Value

Arguments

Keras Backend