k_categorical_crossentropy: Categorical crossentropy between an output tensor and a...
In keras: R Interface to 'Keras'

k_categorical_crossentropy

R Documentation

Categorical crossentropy between an output tensor and a target tensor.

Description

Categorical crossentropy between an output tensor and a target tensor.

Usage

k_categorical_crossentropy(target, output, from_logits = FALSE, axis = -1)

Arguments

`target`	A tensor of the same shape as `output`.
`output`	A tensor resulting from a softmax (unless `from_logits` is TRUE, in which case `output` is expected to be the logits).
`from_logits`	Logical, whether `output` is the result of a softmax, or is a tensor of logits.
`axis`	Axis (axis indexes are 1-based). Pass -1 (the default) to select the last axis.

Value

Output tensor.

Keras Backend

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: https://tensorflow.rstudio.com/reference/keras/index.html#backend.

keras documentation built on May 29, 2024, 3:20 a.m.