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 51 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 1 hour ago
        i got duo to increase my reading.
        • y1n0 9 minutes ago
          My old crappy eyes need big screens for this. I have one on order. I’m ambivilating over the screen crack issue.
        • deskamess 16 minutes ago
          Is it working out well for tech pdf's and books? Once I saw the form factor I realized it would be better than an iPad (less heavy, better battery) and that is the use case I am looking at. Might wait till v2.
          • y1n0 5 minutes ago
            From what I understand the iPad mini weighs the same with a slightly larger screen. Has their matte display option.

            I have big pockets so for me it’s probably pocketable. But I still would have a phone. So I’ve got a duo on order with a year lease so I’m not stuck if I don’t think it’s great.

            I have to confess to considering a mini with cellular instead of a phone altogether though.

    • brcmthrowaway 20 minutes ago
      My full stack JS jockey buddy studied this in the nascent days of LLMs to prep for an interview and is now generationally wealthy. Sliding doors moment for sure...
    • joe_the_user 51 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 32 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 2 hours 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 42 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.
    • apricot 23 minutes ago
      What do you mean "no explanation given"? It says: "In 2 dimensions, the standard (or identity) basis vectors are ê1 = [ 1 0 ] and ê2 = [0 1]." Seems pretty clear to me he's defining ê1 and ê2, or rather telling us that he's using this very common way of naming the basis vectors.
    • mkl 30 minutes ago
      It's just giving a vector a name. It also names ê₂. These particular names are very standard and familiar to most people who've met vectors before.

      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 35 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?

  • p1esk 1 hour ago
    Wow, this book is surprisingly readable! I like how he starts from basics of linear algebra.
  • 3abiton 1 hour ago
    Someone should add it to the hacker news curated paper list! Along side the video and book list.
  • nblgbg 1 hour ago
    Are there any deep learning books with some problems to solve ?
    • brcmthrowaway 19 minutes ago
      +1. I only learn from doing exercises.
  • 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.

  • 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 1 hour 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.
    • brcmthrowaway 20 minutes ago
      Holy..

      Care to share the list of titles in a gist?

    • plicense 1 hour ago
      Can you share what you have so far in that folder?
      • gerdesj 1 hour ago
        They spell it out quite clearly: "8Gb of whitepapers/books..."
  • Daklone 38 minutes ago
    We are recommending books for HackerBooks.org I see. Good, this is why I have come here also.

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

    Published sept 21, 2020 RePublished Aug 27, 2024

    • northes 33 minutes ago
      The street marketing around this book is frankly baffling, do you suppose this is relevant?