Deep Learning With PyTorch - Luca, Eli & Thomas | Podcast #38

Luca Antiga has a Ph.D. in Bioengineering and worked in research until 2009. He is co-founder and CTO at Orobix, where they are busy taking artificial intelligence into the real world.
Eli Stevens has spent the majority of his career working at startups in Silicon Valley, with roles ranging from software engineer to CTO. At publication, he is working on machine learning in the autonomous vehicle industry.

Thomas Viehmann is a Munich-based machine learning trainer and founded the boutique consultancy MathInf GmbH. He is one of the most prolific independent PyTorch contributors. His interests range from mathematical intuition and interpretation to the low-level details of making computation fast. He holds a Ph.D. in pen and paper mathematics from the University of Bonn.

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TIME STAMPS
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0:00 : Intro
2:02 : Intro Eli
2:44 : Intro Luca
3:14 : Intro Thomas
3:52 : PyTorch vs. Tensorflow
9:50 : Is the book for beginners?
13:24 : Why is deployment so important?
17:27 : How important are models?
19:40 : Academia vs. Industry
22:12 : How important is intuition?
25:50 : The "tutorial trap"
28:01 : The Imposter Syndrome
35:49 : Most fascinating concept about AI
41:19 : How much mathematics is needed for Deep Learning?
49:50 : Deployment on embedded systems vs. the cloud
56:11 : What would you like to see AI solve in the future?
1:04:22 : How is it writing a book?
1:10:54 : Closing Remarks

Podcast Recorded: December, 7th 2020 - Subscriber Release Count: 10,218.