Lost Functions In Deep Learning

Neural Network uses optimising strategies like stochastic incline descent to minimize the error in the algorithm. The way we actually cipher this error is by using a Loss Function. It's used to quantify how good or bad the model is performing. These are divided into two grades i.e.Regression loss and Grade Loss. In this essay, we will cover some of the loss functions used in deep knowledge and apply each one of them by using Keras and python.