Binary crossentropy between an output tensor and a target tensor.
k_binary_crossentropy(target, output, from_logits = FALSE)
A tensor with the same shape as
output is expected to be a logits tensor. By
default, we consider that
output encodes a probability distribution.
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.