Eli Stevens, Luca Antiga, and Thomas Viehmann | Deep Learning with PyTorch

Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1263500914427494400?s=20

Discount code: "PodChai20"

Video Version: https://youtu.be/f5Qv3eSZpug

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In this episode, Sanyam Bhutani interviews three great contributors to PyTorch: Eli Stevens, Luca Antiga, and Thomas Viehmann.

The three are also authors of an upcoming book by Manning Publications: Deep learning with Pytorch

In this interview, they talk about the authors' journey into machine learning and the journey with Pytorch towards the efforts into writing the book.

They also discuss the book writing efforts, the authors share what can one expect from the book and what are you expected to have prepared before learning from the book and what can you take away from it.

There is also a lot of great advice around project building, which is, is one of the essence to getting your break into the field.

Links:

Link to the book: https://www.manning.com/books/deep-learning-with-pytorch

PyTorch: https://pytorch.org

Follow:

Eli Stevens:

https://www.linkedin.com/in/eli0stevens/

Luca Antiga:

https://twitter.com/lantiga?lang=en

https://lantiga.github.io

Thomas Viehmann:

https://twitter.com/thomasviehmann

http://thomas.viehmann.net

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: Thanks to Manning Publication for doing the giveaway, note that manning hasn't sponsored the video in anyway, I'm a huge fan of their book and I'm grateful that they're doing a special giveaway + discount for the CTDS.Show audience

#MachineLearning #PyTorch #Book