k_arange

start

stop

Difference between two successive values.

step

dtype

The function arguments use the same convention as Theano's arange: if only
one argument is provided, it is in fact the "stop" argument. The default
type of the returned tensor is <code>'int32'</code> to match TensorFlow's default.

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_arange 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

Creates a 1D tensor containing a sequence of integers. — k_arange

Creates a 1D tensor containing a sequence of integers.

k_arange: Creates a 1D tensor containing a sequence of integers.

Description

Usage

Arguments

Value

Keras Backend