Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Attention Is All You Need - Transformer Paper Explained

Aleksa Gordić - The AI Epiphany via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Dive into a comprehensive video explanation of the groundbreaking "Attention Is All You Need" paper, which introduced the Transformer model. Learn the inner workings of the original Transformer through a detailed walkthrough using a simple machine translation example from English to German. Explore key concepts including tokenization, embeddings, positional encodings, encoder preprocessing, multi-head attention mechanisms, pointwise networks, causal masking, source attending, vocabulary space projection, loss functions, and decoding. Gain a deep understanding of this influential architecture that has revolutionized natural language processing and beyond.

Syllabus

A high-level overview
tokenization
embeddings and positional encodings
encoder preprocessing splitting into subspaces
single MHA head explanation
pointwise network
causal masking MHA
source attending MHA
projecting into vocab space and loss function
decoding

Taught by

Aleksa Gordić - The AI Epiphany

Reviews

Start your review of Attention Is All You Need - Transformer Paper Explained

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.