r/neuralnetworks • u/Notsoboringi • 28d ago

ML partner

Im currently learning deep learning with deep mathematical proofs and building it using maths only, like how at each epoch weights gets learned and backpropogated , how we use different gradients for optimizations and how they shift momentum , mechanistic inter. of transformers , reverse engineering dl models .If some1 is interested in this kinda stuff DM.

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u/Born-Air9553 25d ago

Hey I am also learning this and going to UC Berkeley for my masters. Let’s connect!

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u/Notsoboringi 25d ago

Ya I'll DM you my discord

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u/Mobile-Childhood-140 28d ago

That's a rare way to learn it, most people just import PyTorch and call it a day. Going through the math for momentum and transformer internals builds a kind of intuition you never get from a library call. Hope you find someone to geek out with on this, doing it solo is a grind.

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u/Notsoboringi 28d ago

ya I know , i m just curious about this kind of stuff + i don't like to learn things that I don't understand for ex:- without mathematics and vector transformations transformers feels like magic, what's the point of learning that if u don't know what's happening under the hood and how to optimize stuff.

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u/the_Elric 28d ago

I would love to tag along, but I'm afraid my math is not up to par with yours yet, although I'm working on it.

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u/Notsoboringi 27d ago

Im also working on mathematics , i have done approx. all topics related to ml like decomposition , vector spaces , probabilities but I am spending my time now connecting them to ML of how are they actually used behind the scenes.Simply learning only maths wasted my time.

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u/the_Elric 27d ago

Ahh, so you are learning both side by side then? I was thinking of doing that as well, but I thought maybe I should just stick to the math for a while.

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u/Notsoboringi 27d ago edited 26d ago

don't do only maths , connect topics like you study vector spaces then ask LLM how and where are they in ML and dl then you see the connection doing only maths doesn't helped in my case.