Save 40% on Coursera Plus Annual
Moment Kernels - A Simple and Scalable Approach for Equivariance to Rotations and Reflections in Deep Convolutional Networks

Moment Kernels - A Simple and Scalable Approach for Equivariance to Rotations and Reflections in Deep Convolutional Networks

Computational Genomics Summer Institute CGSI via YouTube Direct link

Daniel Tward | Moment kernels: a simple and scalable approach for equivariance to ... | CGSI 2025

1 of 1

1 of 1

Daniel Tward | Moment kernels: a simple and scalable approach for equivariance to ... | CGSI 2025

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Moment Kernels - A Simple and Scalable Approach for Equivariance to Rotations and Reflections in Deep Convolutional Networks

Automatically move to the next video in the Classroom when playback concludes
  1. 1 Daniel Tward | Moment kernels: a simple and scalable approach for equivariance to ... | CGSI 2025

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.