NOTE: "binary cross-entropy" is a terminology used in Machine Learning field.
交叉熵 seems to mean "cross-entropy" in Mandarin Chinese. According to this page however, it expresses the "binary cross-entropy loss" as 交叉熵损失.
Also, according to Keras documentation on Chinese (Keras is a popular deep learning library on Python):
However, it uses "binary cross-entropy" as a loss function.
Now, 交叉 means
cross and 熵 means
entropy. So there is no word for
binary to be fit into. This page written in Chinese also shows it as "cross-entropy":
So I wonder if it is no problem to just use
交叉熵 to mean "binary cross-entropy". Or is there any other word to specifically mean "binary cross-entropy"? How about other jargons, such as "categorical cross-entropy"? If I use 交叉熵, does it always mean "binary cross-entropy"?