Simon Prince

Are you (or is someone you know) teaching AI / ML / Deep Learning this year? My forthcoming book (freely available at udlbook.com) will save you a lot of time. This thread will show you why.

@FurqanAkeyede I'll try to get it on video and post it afterwards. Don't think we have the technology to do anything live though.

@SimonPrinceAI I am highly interested but not in the EU/UK. Is it possible to do it remotely.

🎓Announcing the 1st Bath Summer School in Machine Learning 📅 5–7 August 2026 | 📌 University of Bath Topics: ODEs/SDEs, Bayesian methods, Self-Supervised Learning, World Models Open to PhDs, postdocs & staff at EU/UK universities bathmlsummerschool.org

@wpan_buidl Afraid not... we are trying to do it as cheaply as possible though to maximize access. Compare the price to other summer schools.

@SimonPrinceAI Do you have any financial scholarship for this summer school ?

Probability is essential for machine learning. Just added a new unit on the expectation operator which reduces a probability distribution to a single comprehensible, actionable property: iclimbtrees.com Completely free, and includes 43 problems with answers. Enjoy!

@Elliot2718 Thanks! I think the main thing is not to worry if you get them wrong... attempting them and looking at the answer will still help you learn. Use AI to get answers for the "professor only" questions, and to generate hints where you can.

@SimonPrinceAI Concept-wise, it’s the clearest deep learning book I’ve ever read. The exercises become quite challenging for me starting from Chapter 8. Do you have any suggestions, Professor?

Are you (or is someone you know) teaching AI / ML / Deep Learning this year? My forthcoming book (freely available at udlbook.com) will save you a lot of time. This thread will show you why.

@francoisfleuret 1M downloads is amazing. Congratulations!

Reminder that I wrote a little book about deep-learning, which is phone-formatted, entirely free, and nearing the 1M download: fleuret.org/francois/lbdl.…

@GroundlessHope @RBCBorealis ODEs and SDEs for machine learning - Research Blog | RBC Borealis share.google/gBbKwPmOH1ovtm…

@SimonPrinceAI @RBCBorealis Where is part I ?

Here is part VI of my series of tutorials on ODEs and SDEs in machine learning for @RBCBorealis. rbcborealis.com/research-blogs… To solve SDEs we must integrate the noise term and to this end, we develop the stochastic integral. It's solution is a stochastic process with mean zero.

@Janon_matters Yup totally free.

@SimonPrinceAI Is this free of cost to learn?

I was unimpressed by online education platforms, so I built my own and am migrating "Understanding Deep Learning" onto it. Features include: animations, interactive figures, problems, notebooks, and AI integration. It's early days, but feel free to take a look! Link in replies.

You can find the website at iclimbtrees.com. You have to sign in (but it's free) and it's really only suitable for tablet or larger screens. Please send me feedback if it doesn't work for you!

@AuElifete udlbook.com

@SimonPrinceAI Pdf please 🙏🏽

Wow. Understanding Deep Learning has now been downloaded half a million times. Thank you so much everyone! I was overjoyed when it hit 100k so this is completely mindblowing. I'm so thrilled that people are finding it useful.

@Zammy_bg Mail me at the address at the top of the notebook and I'll send them to you!

@SimonPrinceAI Hello, I started checking out your notebooks from udlbook.github.io/udlbook/. I was wondering if there are "answers" to the questions post in the notebooks. I do not feel completely comfortable using LLMs to answer the questions.

This year, I've been writing a new series of articles on ODEs and SDEs for machine learning (suitable for people with zero experience of differential equations). You can find the most recent article (on closed-form solutions for ODEs) here: rbcborealis.com/research-blogs…

Last year I wrote seven tutorials for @RBCBorealis on infinite-width neural networks. Topics included the neural tangent network, Bayesian neural networks and Neural Network Gaussian processes. Includes working code and many novel figures. rbcborealis.com/research-blogs…

My friend @TylerJohnMills is looking for collaborators to work on the ARC-AGI competition. This benchmark is interesting and encourages creative approaches to AI. Tyler helped me with my book and would be a fun person to work with. Get in touch directly if you are interested.

@axel_pond @jxmnop Lol.

@jxmnop pointless to write a textbook in deep learning the past 5 years, it will be outdated by the time it's finished.

crazy to me that the one seminal textbook on Deep Learning was written in 2015. ten years ago. before we invented transformers, pretraining, RLHF, reasoning, diffusion, MOEs... i think AI researchers these days may be too busy to write textbooks. but we need a new one, badly

@wondering_camel @jxmnop Definitely more up to date than Goodfellow! Chat GPT and so RHLF came out 1 month before my publishing deadline so only mentioned in passing. Blogs about them though via the book website. MoE is a very old idea...

@jxmnop does Understanding deep learning by @SimonPrinceAI count? I am reading the book and it seems great but it doesn't contain MOE, RLHF and reasoning.

If you are in the US and are considering buying a hard copy of Understanding Deep Learning, then it is currently available at 37% off on Amazon, for a very reasonable USD 56.99.