Machine Learning, Deep Learning, Mathematics, Data Science, Neural Networks.
comparisons between the output value and the true value. The most popular loss function we use for regression models is the mean squared error loss function. In this we simply calculate the square of the difference between Y and Y_pred and average this over all the data. Suppose there are n data