GANs Can Be Interpretable

Jul 11, 2020

26:39

Highlights

AI Chapters

Episode notes

Is There a Parallel Line of Research in Machine Learning?

Introduction

2min

How Do You Create Amazing Effects With Your Research?

3min

How to Control a Generative Anomaly on Network

2min

Is There a Way to Order the Principal Components?

5min

Spring Board Data Science Career Track

2min

Can Pc a Be Run at Any of the Intermediate Layers of the Generator?

3min

A Colab Note Book - Part 1

2min

Is There a Future in Modeling?

3min

Is There a Parallel Line of Research in Machine Learning?

2min

10.

The Evolution of the Tool Kit for Ml Practitioners

2min

Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this amazing interpretable GAN controls video and it’s accompanying codebase found here. Erik mentions the GANspace collab notebook which is a rapid way to try these ideas out for yourself.