Lex Fridman Podcast

Jeremy Howard: fast.ai Deep Learning Courses and Research

Aug 27, 2019

01:44:17

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Highlights

AI Chapters

Episode notes

Do More With Less Data?

02:34

Is the Programming Language a Problem?

04:54

Hospital Law Firms Are Not Incented to Make Brazen Decisions About Portability

01:41

Introduction

2min

What's Your Favorite Programming Environment?

2min

Is Axcess the Relational Data Base?

2min

Delphi

2min

Programming Languages - What's J?

4min

I've Done a Lot of Stuff With Python and Pearl

2min

What's the Goal of Swift?

2min

Is the Programming Language a Problem?

5min

Is There Any Competition in the Cloud?

2min

10.

The Origin Story of Fasta

3min

11.

Do You Still See Human Experts?

2min

12.

How Deep Learning Can Help Doctors and Data Scientists?

2min

13.

Hospital Law Firms Are Not Incented to Make Brazen Decisions About Portability

2min

14.

Do More With Less Data?

3min

15.

Is Yours?

3min

16.

The Origin Story of Fast It

3min

17.

Is There a Difference Between Theory and Practice of Deep Learning?

2min

18.

Are You Going to Innovate on Active Learning?

3min

19.

Stutford Competition Don Bench and Fastls Achievement

6min

20.

Multi Gpus

3min

21.

Gan Level Outputs Without Knitting Gans

3min

22.

Photogray Photography

2min

23.

Deep Learning in the Academic World

2min

24.

How to Train a Dorn Bench

2min

25.

The Future of Learning Magic

2min

26.

Youad the Data Sid, How Often Do You Work With Data These Days?

2min

27.

Getting Started on a Server Environment?

3min

28.

Deep Learning Frameworks - Intenser Flow and Pytorch

5min

29.

Using TensorFlow for New Students?

2min

30.

Swift for Tense Flow

2min

31.

How Long Does It Take to Complete Two Courses?

2min

32.

The Best Way to Understand Something Is to Teach It

2min

33.

How to Train Models in Deep Learning?

3min

34.

Become an Expert in Your Passion Area

2min

35.

How to Create a Successful Start Up?

3min

36.

Do You Have a Profitable Start Up?

3min

37.

Is Space Repetition a Good Thing to Optimize For?

3min

38.

Using Super Memo for Learning New Languages

3min

39.

Learn Chinese

2min

40.

Is There a Breakthrough in Artificial Tees?

2min

41.

Deep Learning

2min

Jeremy Howard is the founder of fast.ai, a research institute dedicated to make deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a former president of Kaggle as well a top-ranking competitor there, and in general, he’s a successful entrepreneur, educator, research, and an inspiring personality in the AI community. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon.