Lecture 12.1 Self-attention Published 2020-11-30 Download video MP4 360p Recommendations 38:51 Лекция. Внимание (Attention) 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 36:16 The math behind Attention: Keys, Queries, and Values matrices 36:44 Attention Is All You Need - Paper Explained 39:24 Intuition Behind Self-Attention Mechanism in Transformer Networks 24:51 Attention for RNN Seq2Seq Models (1.25x speed recommended) 13:06 Cross Attention | Method Explanation | Math Explained 21:02 The Attention Mechanism in Large Language Models 16:09 Self-Attention Using Scaled Dot-Product Approach 30:49 Vision Transformer Basics 26:10 Attention in transformers, visually explained | Chapter 6, Deep Learning 1:08:38 Transformers in Vision: From Zero to Hero 28:48 LSTM is dead. Long Live Transformers! 1:22:38 CS480/680 Lecture 19: Attention and Transformer Networks 13:37 What are Transformer Models and How do they Work? 57:10 Pytorch Transformers from Scratch (Attention is all you need) Similar videos 15:02 Self Attention in Transformer Neural Networks (with Code!) 04:44 Self-attention in deep learning (transformers) - Part 1 13:51 CS 182: Lecture 12: Part 1: Transformers 1:32:46 Mandukya Bashyam - Lecture 35 (Chapter 1 - Karika No 23 & Mantra No. 12) 1:17:49 EfficientML.ai Lecture 12 - Transformer and LLM (Part I) (MIT 6.5940, Fall 2023) 14:32 Rasa Algorithm Whiteboard - Transformers & Attention 1: Self Attention 15:56 Transformers - Part 1 - Self-attention: an introduction 1:36:04 DeepMind x UCL | Deep Learning Lectures | 8/12 | Attention and Memory in Deep Learning 07:35 EE599 Project 12: Transformer and Self-Attention mechanism More results