k_sparse_categorical_crossentropy

target

A tensor resulting from a softmax (unless <code>from_logits</code> is TRUE, in which case <code>output</code> is expected to be the logits).

output

Boolean, whether <code>output</code> is the result of a softmax, or is a tensor of logits.

from_logits

Axis (axis indexes are 1-based). Pass -1 (the
default) to select the last axis.

axis

Categorical crossentropy with integer targets.

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.

JJ Allaire

keras

R Interface to 'Keras'

Fran<c3><a7>ois Chollet

 RStudio

 Google

Yuan Tang

Daniel Falbel

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

k_sparse_categorical_crossentropy 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>.

k_sparse_categorical_crossentropy: Categorical crossentropy with integer targets.

Description

Usage

Arguments

Value

Keras Backend