11-785 Spring 23 Lecture 19: Transformers and Graph Neural Networks Published 2023-03-29 Download video MP4 360p Recommendations 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 59:00 An Introduction to Graph Neural Networks: Models and Applications 11:38 Introduction to graph neural networks (made easy!) 1:11:41 CS25 I Stanford Seminar - Transformers United 2023: Introduction to Transformers w/ Andrej Karpathy 36:15 Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 1:42:18 Intro to Machine Learning & Neural Networks. How Do They Work? 1:12:20 Theoretical Foundations of Graph Neural Networks 15:08 Deep learning with dynamic graph neural networks 13:56 Graph Convolutional Networks - Oxford Geometric Deep Learning 38:27 ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein 1:02:50 MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention 08:42 Transformers are Graph Attention Networks !? - Oxford Geometric Deep Learning 14:28 Graph Neural Networks - a perspective from the ground up 51:06 Intro to graph neural networks (ML Tech Talks) 1:54:59 Think Graph Neural Networks (GNN) are hard to understand? Try this two part series.. 05:10 Graph Attention Networks (GAT) in 5 minutes 58:21 In-Context Learning Over Graphs for LLMs: PRODIGY (Stanford) 17:31 WATCH Magnus Carlsen get crushed by a brilliancy 09:25 Graph Convolutional Networks (GCNs) made simple Similar videos 1:20:41 11-785, Fall 22 Lecture 19: Transformers and GNNs 1:22:35 11-785 Spring 23 Lecture 20: Representations 45:54 Lecture 21 - Transformers - three types of attention - BYU CS 474 Deep Learning 1:22:54 11-785, Fall 22 Lecture 2: Neural Networks: What can a network represent 1:55:05 DL1: 7. Transformers 1:00:28 Lecture 2 - Introduction to Transformers 1:23:52 11-785, Fall 22 Lecture 17: Sequence to Sequence Models: Attention Models 1:31:03 11-785, Fall 22 Lecture 1: Introduction 25:11 Understanding Transformers: The Engines Behind State-of-the-Art Language Models 1:11:21 11-785, Fall 22 Lecture 24: Generative Adversarial Networks (Part 2) 1:41:56 Attention and Transformers Bonus Edition 1:23:44 Attention (Transformers) Is All You Need 02:20 Predicting Stability of Towers with Graph Neural Networks Midterm Video 1:16:45 UMass CS685 S23 (Advanced NLP) #19: Probing large language models More results