Basically a loss function is a method of evaluating how well your algorithm models your dataset. A neural network is one such approach which applies arithmetic operations over many layers until an appropriate solution is obtained. To check how accurate the solution is, loss functions are used. Difference between a Loss Function and a Cost Function? Loss function is…

Everything you need to know about the activation functions in Deep learning! What is an Activation Function? In the neural network activation function plays an important role. The activation function determines the output of a deep learning network, its accuracy, and computational efficiency of training the network. Activation Function help in normalizing the output between…