Introduction

A while back I listened to an interview with Jeremy Howard of FastAI by Lex Fridman. In that interview he shared his passion: making neural networks extremely easy to work with and thus making them accessible to a wider audience. By increasing the number of people trying to solve relevant problems, he argues, more of those problems will be solved in the long run. The example he referenced was a tech savvy doctor using deep learning to solve concrete medical issues.

In this article I want to expand on what in my opinion is needed for an accessible applied deep learning platform. In addition, I want to go into the relation between more fundamental research and applied deep learning.

#research #fastai #deep-learning #accessibility #data-science

There is no data science like applied data science
1.25 GEEK