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

YouTube

Decoder Flow in Transformer Model

CodeEmporium via YouTube

Start learning Write review
Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More → Corporate Finance Institute Ad

Learn Excel and Financial Modeling the Way Finance Teams Actually Use Them

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This course walks through implementing a Transformer decoder from scratch, including its forward pass and core decoder-layer components such as masking, attention, normalization, dropout, and feed-forward activation.

Syllabus

Introduction
Parameters of Transformer
Inputs and Outputs of Transformer
Masking
Instantiating Decoder
Decoder Forward Pass
Decoder Layer
Masked Multi Head Self Attention
Dropout + Layer Normalization
Multi Head Cross Attention
Feed Forward, Activation
Completing the decoder flow

Taught by

CodeEmporium

Reviews

Start your review of Decoder Flow in Transformer Model

Start learning

Never Stop Learning.

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

Sign up for free
Someone learning on their laptop while sitting on the floor.