Deep Learning Indepth Tutorials In 5 Hours With Krish Naik

Please get all the materials and pdfs in the below link which is for free. https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials/tree/main Visit https://www.krishnaik.in/liveclasses for more live classes from me and my team Time Stamp: 0:00:00 Introduction 0:03:50 AI vs ML vs DL vs Data Science 0:14:29 Why Deep Learning Is Becoming Popular? 0:22:17 Introduction To Perceptron 0:30:27 Working Of Perceptron With Weights And Bias 1:00:21 Forward Propogation,Backward Propogation And Weight Updateion Formula 1:18:56 Chain Rule Of Derivatives 1:33:43 Vanishing Gradient Problem 1:44:58 Different types Of Activation Functions 2:04:19 Different types Of Loss functions 2:34:39 Different type Of Optimizers 3:31:24 Practical Implementation OF ANN 4:30:48 Black Box Models VsWhite Box Models 4:36:43 Convolutional Neural Network 5:30:50 Practical Implementation Of CNN Visit :https://www.krishnaik.in/liveclasses for more live classes Don't miss this opportunity grab it before it is too late. Happy Learning!! Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06