How to Master Deep Learning Math?

[@deeplearningexplained]

30 days free trial of Brilliant + 20% off premium subscription over here: brilliant.org/deeplearningwithyacine/ also, do check out these three very cool visual mathy channels: Two cool visual math channel: @3blue1brown‬ @algorithmicsimplicity‬ ‪@CodeEmporium‬

[@fuhodev9548]

I think the hardest point is not to understand the math, it is about how can you derive new stuff with what you learnt.

[@deeplearningexplained]

that's definitely the hardest form of understanding yes.

[@vickyt.819]

As a undergraduate math student, this video is a hidden gem.

[@deeplearningexplained]

Best of luck with your finals! 🔥🔥🔥

[@examgpt]

Brilliant boy!! Very crisp and clear!! - From a guy from remote part of India

[@deeplearningexplained]

Thanks! I’m glad it was useful! 👍👍👍

[@christiangreisinger2339]

Can you also do a video for learning how to write good code (OOP in python, pytorch, jax, ...) in order to contribute to complex projects

[@deeplearningexplained]

Great recommendation Christian, will add it to my list!

[@EmmanDesh]

Yessss

[@Speedy-s6d]

do you have a blank version of the spreadsheet? it looks great for visualizing the topics you have to learn and where you failed to understand things previously

[@karavan_narzan]

In your experience, when solving problems to understand the “motion” and the “shape of the problem”, is it required to solve the problems end-to-end, or just enough so you grok the intuitions?

[@deeplearningexplained]

Good question, it really depends on your prior knowledge and how similar it is to the problem at hand. If it's a field of mathematics you never saw before, you need to do the motion end-to-end multiple time. If it's a connex field, you might not need to drill as much end-to-end. The lated is a bit like trying to swim in a lake versus a pool. There's a lot of stuff that transfer, but you need to still figure out how to breath properly through the waves and follow more open-ended circuit.

[@wombodombo9005]

Thank you for the green yellow and red method thats a very good method!!! However, I have a question, let's take linear algebra as an example, I read the first 200 pages of Gilbert Strang's book and I took about 6 to 12 hours per sub-chapter, I did all the exercises thanks to the correction and the help of GPT to help my intuition and I've improved a lot since then and i can do 90% exercices of the problems sets. However, I think I've done at least 500 exercises, should I go through them again to see my weak points or apply this method from now on? Thank you

[@BladeAurora]

i like the spreadsheet. why do you select 5 tries instead of 10? what's the reason for choosing that number of tries?

[@deeplearningexplained]

Great question! Remember after each try you need to study the theory and make sure you understand what is going. From experience, going through the motion 5 times is more than enough to clear out any yellow and red. Take into consideration you are doing ALL the problem here. Usually there is a lot of overlap between the problem sets, so as you are clearing a yellow you are also strengthening yourself for the upcoming problem. If I have a red for 5 consecutive tries, it usually means that there is something wrong with the problem (not my solution).

[@dalton4035]

Could you give an example of how you would memorize a problem/topic in your mind palace?

[@deeplearningexplained]

Very solid question. It depends really on the purpose of the memorization and the timeframe I'm looking at. One thing I did when I was studying biochemistry is I made heavy use of visualization encoding to remember abstract element that had a logic like the Krebs Cycle: microbenotes.com/krebs-cycle/ What I did was I setup spatially every 9 steps into my house I lived in with 9 loci. Then at each loci I've put a visualization of the end production of an element. For instance, Acetyl CoA was encoded at the start of my staircase as a very old projector that use acetate (had them in my primary school). Then when I climbed the steps I was splashing around lemon juice with a very strong smell. When I got to my door there was a huge lemon pearling with water I had to displace by hand, it was slippery, but had a nice smell to it. The encoding above means for me: 1. Acetyl CoA 2. Through Citrate synthase 3. Generate Citrate Then I went on through each of the 9 loci. If you setup your visualization properly you will memorize that full chart in like 2-3h max and it's very sticky. After a while, I didn't need anymore direct access to the memory palace to remember the steps and I just remembered the Krebs Cycle as something natural.

[@IgorKovacs02]

please keep it up! :D

[@deeplearningexplained]

Thanks! I will! :)

[@chuchyi]

also mathacademy worth mentioning, i wish i knew bout it before i started

[@deeplearningexplained]

Thanks for mentioning, didn’t know about them!

[@chuchyi]

recommend to look into, they’ve optimized process of learning to new level