New course on deep learning

Heya friends!

As some of you know, I’ve been working on a deep learning course for a really long time. I’m sorry you had to wait so long, but I hope you find it’s worth the wait :wink:

Here’s the link, with discount coupon:

The course is a rigorous deep-dive into deep learning, with many foundational and advanced topics covered (and I have a few more course topics planned for the coming months). The entire course is in Python (using the PyTorch library), so I’ve included an 8-hour Python intro for those who are less experienced with Python (lookin’ at you, MATLABers!).

Whether you want to enroll is up to you, of course. But I definitely recommend visiting the course page and checking out the preview videos.

As always, happy learning! And stay safe.



Hi Mike,
There is any application of Deep learning on EEG signals in this course.

Hi Hamid. Well, there aren’t any examples of deep learning on EEG data, but you could use the code for EEG, hopefully without too much adaptation.

1 Like

Hi Pranjal.

  1. Well, deep learning is a big and ever-increasing field. It’s not possible to include everything. I tried to include enough of the fundamentals such that any other DL topic should be easy to learn (indeed, most modern applications of DL are simply clever ways of combining existing architectures). There are also several coding languages and environments for DL; I have a lecture in the course about why I chose PyTorch. Fortunately, the differences between PyTorch and TensorFlow are only syntax; the underlying methods, models, parameters, etc, are the same.
  2. Sorry, I don’t think I can do that :wink: My recommendation is to search the web for topics that you find interesting, and see what’s been done in the DL sphere on those topics.


1 Like