Artificial Intelligence, Artificial Neural Network, Computer Science, Linear Regression, Python.
#Implementation for binary crossentropy def binary_cross_entropy(Y, predicted): return (-Y * np.log(predicted) - (1 - Y) * np.log(1 - predicted)) Now that we have a loss function and understand how it works, it’s time to examine our data and train the model. To simplify, I am using the digits