Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
comparing the predicted value y with the actual value of the example in our training set and using a function of their differences. This function is called a loss function. Equation 2 The machine tries to decrease this loss function or the error, i.e tries to get the prediction value close to the