Neural Networks and Deep Learning (Complete Course)

------------ TIME STAMP ----------------- INTRODUCTION TO DEEP LEARNING 0:00:00 Welcome 0:05:31 What is a Neural Network 0:12:48 Supervised Learning with Neural Network 0:21:17 Why is Deep Learing taking off 0:31:38 About this course 0:34:06 Geoffrey Hinton Interview NEURAL NETWORKS BASICS 1:14:28 Binary Classification 1:22:52 Logistic Regression 1:28:51 Logistic Regression Cost Function 1:37:03 Gradient Descent 1:48:26 Derivatives 1:55:37 More Derivative Example 2:06:04 Computation Graph 2:09:38 Derivatives With a Computation Graph 2:24:12 Logistic Regression Gradient Descent 2:30:54 Gradient Descent on m Examples 2:38:55 Vectorization 2:46:59 More Vectorization Examples 2:53:18 Vectorization Logistic Regression 3:00:50 Vectorization Logistic Regression Gradient Output 3:10:28 Broadcasting in PYthon 3:21:34 A Note on Python Numpy Vectors 3:28:23 Quick tour of jupyter iPython Notebooks 3:32:06 Explanation of Logistics Regression Cost Function (optional) 3:39:21 Pieter Abbeel Interview SHALLOW NEURAL NE