Visualize the Transformers Multi-Head Attention in Action

preview_player
Показать описание

Attention Networks are used in modern AI technologies like BERT, GPTx, ChatGPT, etc. as it learns about relationships between different parts of the data that it encounters. The video provides conceptual depictions of what is happening 'under the hood' as abstract concepts in multi-dimensional space are manipulated during training and at inference time.

Python / PyTorch implementation referred to in this video:
  1. learningcurve
  2. transformer neural networks
  3. transformer neural network
  4. AI
  5. artificial intelligence
  6. GPT-2
Рекомендации по теме
Visualize the Transformers 0:05:54

Visualize the Transformers Multi-Head Attention in Action

Visual Guide to 0:15:25

Visual Guide to Transformer Neural Networks - (Episode 2) Multi-Head & Self-Attention

Attention in transformers, 0:26:10

Attention in transformers, visually explained | Chapter 6, Deep Learning

Illustrated Guide to 0:15:01

Illustrated Guide to Transformers Neural Network: A step by step explanation

Rasa Algorithm Whiteboard 0:10:56

Rasa Algorithm Whiteboard - Transformers & Attention 3: Multi Head Attention

Attention mechanism: Overview 0:05:34

Attention mechanism: Overview

Multi Head Attention 0:15:59

Multi Head Attention in Transformer Neural Networks with Code!

L19.4.3 Multi-Head Attention 0:07:37

L19.4.3 Multi-Head Attention

Textual Context guided 0:16:08

Textual Context guided Vision Transformer with Rotated Multi Head Attention for Sentiment Analysis

The math behind 0:36:16

The math behind Attention: Keys, Queries, and Values matrices

Attention is all 0:58:04

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

Transformers: The best 0:08:38

Transformers: The best idea in AI | Andrej Karpathy and Lex Fridman

Visualizing attention maps 0:00:15

Visualizing attention maps in MNIST vision transformer

What is Multi-head 0:38:27

What is Multi-head Attention in Transformers | Multi-head Attention v Self Attention | Deep Learning

Self-attention in deep 0:04:44

Self-attention in deep learning (transformers) - Part 1

A Dive Into 0:09:57

A Dive Into Multihead Attention, Self-Attention and Cross-Attention

visualizing nn.MultiheadAttention computation 0:01:58

visualizing nn.MultiheadAttention computation graph through torchviz

Vision Transformer Basics 0:30:49

Vision Transformer Basics

Coding a Transformer 2:59:24

Coding a Transformer from scratch on PyTorch, with full explanation, training and inference.

What is Mutli-Head 0:00:33

What is Mutli-Head Attention in Transformer Neural Networks?

Attention Mechanism In 0:04:30

Attention Mechanism In a nutshell

Rasa Algorithm Whiteboard 0:12:26

Rasa Algorithm Whiteboard - Transformers & Attention 2: Keys, Values, Queries

Demystifying Transformers: A 0:05:09

Demystifying Transformers: A Visual Guide to Multi-Head Self-Attention | Quick & Easy Tutorial!

Multi Head Architecture 0:00:46

Multi Head Architecture of Transformer Neural Network