initializer_random_uniform

Initializer that generates tensors with a uniform distribution.

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

initializer_random_uniform function

<dl><dt>minval</dt>
<dd>Lower bound of the range of random values to generate.</dd>
<dt>maxval</dt>
<dd>Upper bound of the range of random values to generate. Defaults to 1 for float types.</dd>
<dt>seed</dt>
<dd>seed</dd></dl>

Arguments

Initializer that generates tensors with a uniform distribution. — initializer_random_uniform

<dl>

<dt>minval</dt>
<dd>Lower bound of the range of random values to generate.</dd>


<dt>maxval</dt>
<dd>Upper bound of the range of random values to generate. Defaults to 1 for float types.</dd>


<dt>seed</dt>
<dd>seed</dd>

</dl>

Initializer that generates tensors with a uniform distribution.

initializer_random_uniform: Initializer that generates tensors with a uniform distribution.

Description

Usage

Arguments

See Also