Cost Function in Neural Network | Types of Cost function we use in different applications

In this video, we will see what is Cost Function, what are the different types of Cost Function in Neural Network, and which cost function to use, and why. We will also see Loss Function. Loss function is the term used to represent the error for 1 observation. While Cost function is the term used for the average of errors for all the observation. We will see Cost Function for 3 different types of problems : 1.) Regression or Linear Regression in Neural Network 2.) Binary Classification in Neural Network 3.) Mulit-class Classification in Neural Network Timestamps: 0:00​ - Agenda of the video 0:28 - What is Cost Function 1:09 - Cost Function for Regression problem in Neural Network 3:14 -Binary classification Cost Function in Neural Network 6:43 - Multi-class classification Cost Function in Neural Network 9:09 - Summary ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ This is Your Lane to Machine Learning ⭐ ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Complete Neural Network Playlist : https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD Detailed Video on Cost Function for Logistic Regression : https://www.youtube.com/watch?v=ar8mUO3d05w Detailed Video on Cost Function for Linear Regression : https://www.youtube.com/watch?v=yt7fzvwfWHs&t=45s ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Subscribe to my channel, because I upload a new Machine Learning video every week : https://www.youtube.com/channel/UCJFAF6IsaMkzHBDdfriY-yQ?sub_confirmation=1