Loss Functions in Deep Learning: An Overview

Neural Network uses optimising strategies like stochastic gradient descent to minimize the error in the algorithm. The way we actually compute this error is by using a Loss Function. It is used to quantify how good or bad the model is performing. These are divided into two categories i.e.Regression loss and Classification Loss. In this article, we will cover some of the loss functions used in deep learning and implement each one of them by using Keras and python.