Deep Learning with Pytorch (Book Club - Summer 2020)

Hi everyone! While waiting for my copy of Deep Learning for Coders with fastai and PyTorch to arrive, I have decided to start reading Deep Learning with Pytorch (2nd Edition) by Eli Stevens, Luca Antiga and Thomas Viehmann.

Inspired by this awesome community and my virtual friend @muellerzr, @init_27 I decided to record myself and share it with you all. My idea is to keep reading and adding new videos every day since as I am now in self-isolation for 10-days due to covid-19 it also helps me feel a bit less alone.

Here is the link to the first video:

Let me know if you like it!!


Well done! :star2: Looking forward to your videos on this topic!

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@mgloria awesome idea! I got through the first part of Deep Learning with PyTorch and then when I hit the project for part 2… the data processing stage really threw me off (lol). Luckily the FastAi book arrived the next day.

Nonetheless, I really did appreciate part 1. Maybe I’m a bit dense – but some concepts like the tensor data structure (and modules etc) finally started to make sense once I was forced to sit down with the book. It also has helped immensely with my understanding of FastAi. Will be interested in seeing how you take on part 2!!

There’s a cool Kaggle competition right now with a similar CT scan dateset that I decided to try working on in order to get a better intuition of working with dicoms. Should also circle back around and work on part 2 with the FastAi DataBlocks.

About halfway through FastAi book and I must say… both books have been exceptional companions during this pandemic these past few weeks :slightly_smiling_face:

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Hi @ali_baba thanks a lot for the support!! :smiling_face_with_three_hearts: So far part 1 seems very interesting, let’s see if I can manage to get to Part 2 very fast. I will check the dataset you mention, can be an interesting problem to work on parallel.

I just created a playlist to keep adding videos in a more organized way :hugs:


@mgloria yes! that’s a great idea. Maybe we can try to make a dent on the leader-board for it :cowboy_hat_face:
Will check out some of the videos in the coming days!