Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
Binary cross-entropy considers the output to be binary or non-exclusive, meaning zero is also considered in the loss calculation. Consider the following scenario where Y is [1, 2, 3], Y_hot is [[1, 0, 0], [0, 1, 0], [0, 0, 1]], and the predicted values are [[0.8, 0.1, 0.1], [0.8, 0.1, 0.1], [0.8,