Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
estimate). However, it does so at the price of increased bias. Loss Functions In most learning networks, error is calculated as the difference between the actual output y and the predicted output ŷ. The function that is used to compute this error is known as Loss Function also known as Cost