Categorical crossentropy between an output tensor and a target tensor.
Categorical crossentropy between an output tensor and a target tensor.
k_categorical_crossentropy(target, output, from_logits = FALSE, axis = -1)
target |
A tensor of the same shape as |
output |
A tensor resulting from a softmax (unless |
from_logits |
Logical, whether |
axis |
Axis (axis indexes are 1-based). Pass -1 (the default) to select the last axis. |
Output tensor.
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.
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