k_manual_variable_initialization

value

This boolean flag determines whether variables should be initialized as they
are instantiated (default), or if the user should handle the initialization
(e.g. via <code>tf$initialize_all_variables()</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.

Daniel Falbel

keras

R Interface to 'Keras'

JJ Allaire

Fran<c3><a7>ois Chollet

 RStudio

 Google

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

k_manual_variable_initialization function

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://keras.rstudio.com/articles/backend.html#backend-functions">https://keras.rstudio.com/articles/backend.html#backend-functions</a>.

Keras Backend

Sets the manual variable initialization flag. — k_manual_variable_initialization

Sets the manual variable initialization flag.

k_manual_variable_initialization: Sets the manual variable initialization flag.

Description

Usage

Arguments

Keras Backend