k_resize_volumes

depth_factor

height_factor

width_factor

string, <code>"channels_last"</code> or <code>"channels_first"</code>.

data_format

Resizes the volume contained in a 5D 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

Fran<c3><a7>ois Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

k_resize_volumes 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

Resizes the volume contained in a 5D tensor. — k_resize_volumes

Resizes the volume contained in a 5D tensor.

k_resize_volumes: Resizes the volume contained in a 5D tensor.

Description

Usage

Arguments

Value

Keras Backend