k_categorical_crossentropy

A tensor of the same shape as <code>output</code>.

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

Logical, 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 between an output tensor and a target 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_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_categorical_crossentropy: Categorical crossentropy between an output tensor and a target tensor.

Description

Usage

Arguments

Value

Keras Backend