I love physical books too!
I can't provide those for my books due to logistical issues, but I don't have anything against you printing the PDF (no drm) and binding in a hardcover binding (if such shops are available in your area).

If you’re a dev who’s felt like most ML/Math content talks over your head — this is for you.

You can preview the books or support the work on my site. ❤️

🔗 aiprobook.com

Or just retweet this thread so others can find it.

They've helped hundreds of devs actually get backprop, eigenvalues, gradient descent, and more — without needing a PhD or pretending math is magic.

A few chapters are even free at aiprobook.com if you want to explore. Lots of content is available as blog articles.

That feedback led me to create two books:
📘 Deep Learning for Programmers
📗 Linear Algebra for Programmers
They’re built entirely from the intuition that if you can code, you can understand math.
Code-first, jargon-free, honest.

One day, a blog post of mine made the front page of Hacker News.

It didn't break my server, but it was read by many people.

That gave me a signal: there's a hunger out there for programmers who want hands-on, code-first explanations of “scary” math concepts.

10y ago, many programmers were frustrated trying to understand how Deep Learning worked under the hood. Every resource was either:
Way too theoretical
Or shallow “framework tutorials”
I started writing blog posts at dragan.rocks just to explain things to my past self.

Thank you!
I really don't know, as I don't get any contact details from Patreon. I am surprised that they close accounts for such reasons. The only thing that I can suggest is to try with a more traditional email, such as gmail...

A lot of code that makes PyTorch useful might already be in the Deep Diamond. No need to create a PyTorch port, just the integration of the most useful stuff from libtorch into Clojure.

That's all right. I might do the PyTorch part, and other people will do some other pieces.