k_binary_crossentropy

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

target

output

Whether <code>output</code> is expected to be a logits tensor. By
default, we consider that <code>output</code> encodes a probability distribution.

from_logits

Binary 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.

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_binary_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_binary_crossentropy: Binary crossentropy between an output tensor and a target tensor.

Description

Usage

Arguments

Value

Keras Backend