01L – Gradient descent and the backpropagation algorithm Published 2021-07-13 Download video MP4 360p Recommendations 1:42:27 02L – Modules and architectures 25:28 Watching Neural Networks Learn 50:43 12a: Neural Nets 24:57 The Return of -1/12 - Numberphile 2:25:52 The spelled-out intro to neural networks and backpropagation: building micrograd 54:51 How to Create a Neural Network (and Train it to Identify Doodles) 21:20 Does -1/12 Protect Us From Infinity? - Numberphile 19:29 Backpropagation : Data Science Concepts 58:12 MIT Introduction to Deep Learning | 6.S191 23:54 Gradient Descent, Step-by-Step 1:15:58 Yann LeCun: Deep Learning, ConvNets, and Self-Supervised Learning | Lex Fridman Podcast #36 08:00 What is Back Propagation 32:48 Back Propagation in training neural networks step by step 52:44 22. Gradient Descent: Downhill to a Minimum 1:42:18 Intro to Machine Learning & Neural Networks. How Do They Work? 10:47 Why Do Neural Networks Love the Softmax? 12:47 What is backpropagation really doing? | Chapter 3, Deep learning 1:12:01 10 – Self / cross, hard / soft attention and the Transformer 10:30 Why Neural Networks can learn (almost) anything Similar videos 08:32 Backpropagation - A Visual Walkthrough 33:33 Deep Learning - Lecture 3.1 (Deep Neural Networks: Backpropagation with Tensors) 10:46 1 4 1 Gradient Descent Dyanmics Proof of Thm 6 part1 09:17 Lec 8:Backpropagation Algorithm-Part2(Steepest Descent Method)/ Delta Rule 36:24 Step By Step Backpropagation Example || Online Class Delivery || 1:40:41 CS480/680 Lecture 18: Recurrent and recursive neural networks More results