9 comments

  • prideout 2 hours ago
    My favorite little book is François Fleuret's: The Little Book of Deep Learning https://fleuret.org/francois/lbdl.html
    • arcanemachiner 2 hours ago
      I love how that site offers a phone-formatted PDF as an option. How thoughtful!
      • qifzer 22 minutes ago
        You may enjoy the reflow feature on Koreader. It fits a pdfs content into a screenwidth single column layout. That text is also zoomable.
      • dominotw 42 minutes ago
        i got duo to increase my reading.
    • joe_the_user 22 minutes ago
      I'd note that the Fleuret books gives the foundation for basic deep learning whereas the OP seems to give the necessary foundations for Transformers and related machinery. These later addition what is now "AI" are in total at least as complicated as the original deep learning concepts. Not that just learning basic neural networks but the two book don't appear to cover the same ground.
      • wh306 3 minutes ago
        Only had a quick skim, but looks like the content of this book has very little to do with transformers. Might be more relevant for diffusion models (image/video generation) though.
    • CamperBob2 1 hour ago
      It's a nice treatment of the subject, but I wish he would post a conventionally-formatted .PDF that puts every page on a full sheet of standard printer paper.
  • StilesCrisis 14 minutes ago
    The very first formula in the text, explicitly described as "as simple as possible," names its variable ê1 with no explanation given. I think this paper needs another pass.
    • mkl 1 minute ago
      It's just giving a vector a name. It also names ê₂.

      You can look at those vectors and see that the position of the 1 is the subscript, without explanation. The ^ could do with an explanation that it means unit vector, but if you've met vectors before you likely know that (maybe that's elsewhere in the book, but a quick search didn't find it).

    • nhatcher 7 minutes ago
      That's absolutely standard notation for a unit basis vector. I haven't read the prerequisites carefully, so if it addressed to the general public maybe?

      It is perhaps addressed to a different crowd?

  • Daklone 9 minutes ago
    We are recommending books for HackerBooks.org I see. Good, this is why I have come here also.

    Let me tell you about one of the greatest book series of our generation: Dungeon Crawler Carl, By Matt Dinniman

    https://mattdinniman.com/books/

    From the Dust jacket: The apocalypse will be televised!

    You know what’s worse than breaking up with your girlfriend? Being stuck with her prize-winning show cat. And you know what’s worse than that? An alien invasion, the destruction of all man-made structures on Earth, and the systematic exploitation of all the survivors for a sadistic intergalactic game show. That’s what. READ MORE

    Join Coast Guard vet Carl and his ex-girlfriend’s cat, Princess Donut, as they try to survive the end of the world—or just get to the next level—in a video game–like, trap-filled fantasy dungeon. A dungeon that’s actually the set of a reality television show with countless viewers across the galaxy. Exploding goblins. Magical potions. Deadly, drug-dealing llamas. This ain’t your ordinary game show.

    Welcome, Crawler. Welcome to the Dungeon. Survival is optional. Keeping the viewers entertained is not.

    Published sept 21, 2020 RePublished Aug 27, 2024

    • northes 4 minutes ago
      The street marketing around this book is frankly baffling, do you suppose this is relevant?
  • p1esk 1 hour ago
    Wow, this book is surprisingly readable! I like how he starts from basics of linear algebra.
  • 3abiton 35 minutes ago
    Someone should add it to the hacker news curated paper list! Along side the video and book list.
  • minimaxa 1 hour ago
    Appreciated, I drop all of these into a RAG folder for when I need them later on in projects.

    8Gb of whitepapers/books...

    • cheesewhistle 39 minutes ago
      I'm v curious how you're incorporating this into your workflow. Is it that when you want to implement something you can call out to these books as rigorous reference material for your agents? I'd never thought of doing such a thing and am curious how you're doing it and how it's worked.
    • plicense 1 hour ago
      Can you share what you have so far in that folder?
      • gerdesj 45 minutes ago
        They spell it out quite clearly: "8Gb of whitepapers/books..."
  • amplifydev 2 hours ago
    Interesting!

    Is there any one who have recommended books on the attention architecture specifically? I have been interested in that for a long time but never gotten around to actually studying it.

  • nblgbg 1 hour ago
    Are there any deep learning books with some problems to solve ?