Top all-time · #2659
François Fleuret
Personal blog · fleuret.orgaimath
François Fleuret's personal blog at fleuret.org covers ai and math. Since 2019, 30 different Hacker News readers have linked it 33 times, most often “The Little Book of Deep Learning (2024)”. No feed was found, so read it on the site itself.
François Fleuret's homepage.
Most-linked posts?
- The Little Book of Deep Learning (2024)15 people · 16 mentions · first linked 2023-08-11
- Deep Learning Course6 people · 7 mentions · first linked 2021-07-29
- /public/lbdl-a5-booklet.pdf2 people · 2 mentions · first linked 2023-05-01
- The Little Book of Deep Learning [pdf]2 people · 2 mentions · first linked 2023-05-01
What Hacker News says?
for those who want some maths-heavy stuff for deep learning, check francois fluret's book https://fleuret.org/francois/lbdl.html . the pdf is free but the print is so cute.
Comment linking /francois/lbdl.html
on “Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory”Submitted The Little Book of Deep Learning (2024) as a story · 11 points
HN discussionAwesome thank you! Really appreciate you taking the time to reply. I’m still learning Python and working my way through this course https://fleuret.org/dlc/ but without a problem I care about its hard. Your encouragement and tips are much appreciated! Knowing that this idea isn’t too ambitious will give me the motivation to keep pushing. Thank you.
Comment linking /dlc/
on “ML Engineering Online Book”Submitted The Little Book of Deep Learning as a story · 2 points
HN discussionhttps://fleuret.org/francois/lbdl.html There's a 0-60 in 3 seconds one. Specifically about deep learning, which is a subset of ML. Deep learning is what is used to build LLMs ala ChatGPT.
Comment linking /francois/lbdl.html
on “Machine Learning Is Still Too Hard for Software Engineers”Submitted The Little Book of Deep Learning as a story · 2 points
HN discussionFastAI course for 1, the Little Book of Deep Learning [0] / Deep Learning (Goodfellow et al) / the entire set of Kevin Murphy textbooks for 2 (in order of detail) [0] https://fleuret.org/francois/lbdl.html
Comment linking /francois/lbdl.html
on “Ask HN: How to Start with ML in 2024?”Submitted The Little Book of Deep Learning (2024) as a story · 2 points
HN discussionI thought the title was an homage to François Fleuret's Little Book of Deep Learning. https://fleuret.org/francois/lbdl.html
Comment linking /francois/lbdl.html
on “The Little Book of Reinforcement Learning”Submitted The Little Book of Deep Learning as a story · 2 points
HN discussionI'm assuming it's more in line with The Little Schemer series of books ( https://felleisen.org/matthias/BTLS-index.html ) or maybe the little book of deep learning ( https://fleuret.org/francois/lbdl.html )?
Comment linking /francois/lbdl.html
on “The Little Book of Reinforcement Learning”Submitted Deep Learning Course as a story · 2 points
HN discussionThe handouts at https://fleuret.org/dlc/ are fantastic. Also two books: Data Science from Scratch and Deep Learning from Scratch. They are more hand-on, but you'll build all the low-level things in Python and learn a lot.
Comment linking /dlc/
on “Ask HN: Resources to brush up from 'Intro to ML' to current LLMs/generative AI?”Submitted The Little Book of Deep Learning [pdf] as a story · 2 points
HN discussionAre you talking about the submission course or Stanford? Because There is a list of pre-reqs for the submitted course [1] and to be honest I feel like they are the standard requirements for you to fully understand DL may except signal processing stuff that might be taken as optional. [1] https://fleuret.org/dlc/#information
Comment linking /dlc/
on “Deep Learning Course”Submitted Deep Learning Course of Unige/EPFL as a story · 2 points
HN discussionFor those interested in this course, be sure to check out his Little Book of Deep Learning as well! https://fleuret.org/francois/lbdl.html
Comment linking /francois/lbdl.html
on “Deep Learning Course”Submitted The Little Book of Deep Learning v1.2 (May 19th, 2024) as a story · 1 points
HN discussionProbably his course, all in pytorch. https://fleuret.org/dlc/
Comment linking /dlc/
on “The Little Book of Deep Learning [pdf]”Submitted The Little Book of Deep Learning as a story · 1 points
HN discussionHe runs a very similar course at the University of Geneva (the practicals are available). https://fleuret.org/dlc/
Comment linking /dlc/
on “The Little Book of Deep Learning [pdf]”Submitted The Little Book of Deep Learning as a story · 1 points
HN discussionYour comment prompted me to look around. There is also an A5 version of the book https://fleuret.org/public/lbdl-a5-booklet.pdf Which again, is a small paper size!
Comment linking /public/lbdl-a5-booklet.pdf
on “The Little Book of Deep Learning [pdf]”Submitted The Little Book of Deep Learning as a story · 1 points
HN discussionHis website also has a version for printing out on 36 sheets of paper and folding into a real book: https://fleuret.org/public/lbdl-a5-booklet.pdf
Comment linking /public/lbdl-a5-booklet.pdf
on “The Little Book of Deep Learning [pdf]”Submitted Deep Learning Course as a story · 1 points
HN discussionWhat a neat little book! I suppose this was typeset in TeX. How did they optimize for smaller width though? Edit: I found the style templates on author's webpage [1]. [1]: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?p=littlebook.g...
Comment linking /cgi-bin/gitweb/gitweb.cgi?p=littlebook.git;a=summary
on “The Little Book of Deep Learning [pdf]”Submitted Deep Learning Course of Unige/EPFL as a story · 1 points
HN discussionWhat do you think of this book? https://fleuret.org/francois/lbdl.html I like that it’s formatted for the phone.
Comment linking /francois/lbdl.html
on “Ask HN: AI/ML papers to catch up with current state of AI?”Submitted EPFL EE-559 – Deep Learning Course as a story · 1 points
HN discussion
