S1 E1 Intuitive introduction to Neural Networks

Webseries #1: Comprehensive and Intuitive Introduction to Deep Learning -- Numbers and Text by ‪@parthaseetala‬ SEASON 1 - EPISODE 1: In this episode we'll learn about Neural Networks, the data structure and algorithm that powers Deep Learning. We'll also study the intuition behind how Neural Networks work. CHAPTERS 00:01:51 Agenda for Episode 1 00:02:35 Intuition behind Neural Networks -- how we/machines learn 00:22:25 What is a Neural Network 00:27:59 Forward pass through a Neural Network (making a prediction) 00:43:30 3 questions -- Weights, Bias, Activation function -- why do we need them? 00:56:50 Backward pass through a Neural Network (Part 1) 00:57:49 Gradient Descent Algorithm -- a gentle and intuitive understanding 01:14:55 How to train a Neural Network -- Learning Rate, Batching and Epochs 01:33:24 Backward pass through a Neural Network (Part 2) -- the Chain Rule 01:40:19 Summary -- putting everything together 01:43:04 Introducing the code to implement a Neural Network 01:48:01 Preview of next episode Season 1 Episode 2 NEXT EPISODE: https://youtu.be/CQTCS8SO8bs