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

YouTube

Structured Prediction with Energy Based Models

Alfredo Canziani via YouTube

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This lecture examines structured prediction with energy-based factor graphs, including efficient inference, sequence labeling, Graph Transformer Networks, loss functions, backpropagation, neural ODEs, and variational inference.

Syllabus

– Week 14 – Lecture
– Structured Prediction, Energy based factor graphs, Sequence Labeling
– Efficient Inference for Energy-Based Factor Graph and Some Simple Energy-Based Factor Graphs
– Graph Transformer Net
– Comparing Losses and the start of language models as graphs
– Forward algorithm in Graph Transformer Networks
– Lagrangian formulation of back prop and neural ODE
– Variational Inference in terms of Energy

Taught by

Alfredo Canziani

Reviews

Start your review of Structured Prediction with Energy Based Models

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.