Capsule Networks and Education Targets

episode

Machine Learning Street Talk (MLST) not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

More from Machine Learning Street Talk (MLST)

VAEs Are Energy-Based Models? [Dr. Jeff Beck] 46 min · 25 Jan 2026

Abstraction & Idealization: AI's Plato Problem [Mazviita Chirimuuta] 53 min · 23 Jan 2026

Why Every Brain Metaphor in History Has Been Wrong [SPECIAL EDITION] 42 min · 23 Jan 2026

Adversarial Examples and Data Modelling - Andrew Ilyas (MIT) 1h 28m · 22 Aug 2024

All episodes from Machine Learning Street Talk (MLST) →

Report any issue

Source

Recorded29 Sep 2020

Publisheranchor.fm ↗

Handlerec:2107551

Show notes

In today's episode, Dr. Keith Duggar, Alex Stenlake and Dr. Tim Scarfe chat about the education chapter in Kenneth Stanley's "Greatness cannot be planned" book, and we relate it to our Algoshambes conversation a few weeks ago. We debate whether objectives in education are a good thing and whether they cause perverse incentives and stifle creativity and innovation. Next up we dissect capsule networks from the top down! We finish off talking about fast algorithms and quantum computing. 00:00:00 Introduction 00:01:13 Greatness cannot be planned / education 00:12:03 Perverse incentives 00:19:25 Treasure hunting 00:30:28 Capsule Networks 00:46:08 Capsules As Compositional Networks 00:52:45 Capsule Routing 00:57:10 Loss and Warps 01:09:55 Fast Algorithms and Quantum Computing

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.