⇒ In TensorFlow, this is called the binary cross-entropy loss function. Where does that name come from?
Well, it turns out in statistics this function on top is called the cross-entropy loss function, so that's what cross-entropy means, and the word binary just reemphasizes or points out that this is a binary classification problem because each image is either a zero or a one.
