k_categorical_crossentropy
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
| Arguments | Description |
|---|---|
| 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. |
Section
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://keras.rstudio.com/articles/backend.html#backend-functions.
Value
Output tensor.