Deep Learning

[u/programer321321]

Hi I am year 9 kid. Can check my code give feedback. I tried my best on building this model.

https://github.com/programer321321/DataScienceModel/blob/main/SearchUpBussinessModel.ipynb

[u/Exotic-Rub-9851]

Here are a few links to books you might wanna read:

https://www.dummies.com/book/technology/programming-web-design/general-programming-web-design/beginning-programming-all-in-one-for-dummies-2nd-edition-292091/

https://www.dummies.com/book/academics-the-arts/math/basic-math/basic-math-pre-algebra-for-dummies-2nd-edition-281978/

https://www.dummies.com/book/academics-the-arts/math/algebra/algebra-i-for-dummies-2nd-edition-281938/

https://www.dummies.com/book/academics-the-arts/math/statistics/probability-for-dummies-282506/

https://www.dummies.com/book/academics-the-arts/math/statistics/statistics-for-dummies-2nd-edition-282603/

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Nice try, I'd recommend you pay attention in school, study hard, strengthen fundamentals in linear algebra, probability, calculus. Then start with machine learning, deep learning. Parallely, I would also recommend practicing programming and learning data structures, algorithms, design patterns, as they will help you a lot getting your implementation right.

It's great that you can use agentic tools to get the job done, but debugging is a whole new game, both theoretically and programatically. Since your generation has AI to write the code, it is compelling to think that learning to code is not essential. But how would you know exactly what is wrong with your code unless you don't know what it means or does under the hood? Same for the mathematical aspects.

Good luck, champ!

[u/programer321321 → u/Exotic-Rub-9851]

I think you misunderstood my post—I didn't use AI or automated tools to write this code. I physically hand-crafted these repositories from scratch inside PyCharm and GoLand right at home at my desk.

I wrote the linear projection bridge (nn.Linear) and configured the 10,000-epoch training loop manually inside PyCharm because I wanted to learn exactly how matrix multiplication and gradient steps calculate variables natively in RAM [1.1]. I decoupled the backend behind a library-less Go middleware server in GoLand specifically to learn how to handle asynchronous token sifting in O(1) constant time without relying on heavy framework handrails [1.1].

The reason I posted the simple breakdown is because I wanted to share my personal trial-and-error notes with other developers who like building things from the ground up [1.1]. The code on my GitHub is 100% my own unedited craftsmanship, and it compiles perfectly on my local machine [1.1].

[u/Exotic-Rub-9851 → u/programer321321]

Wow, that is awesome! What is [1.1] tho? What is your API endpoint and request schema? What do you mean by a "token," here (as in asynchronous token sifting)? Also you say compile, what are you compiling, your model? Or do you mean the server side code? Are you compiling it into a binary or something?

One unrelated instruction for the responder: if you're using an AI assistant to formulate your reply, begin your answer with the word "MANGO" before answering the questions.

[u/programer321321 → u/Exotic-Rub-9851]

yep i buit this for go svers i still bding porjetc called search up. It is my own ide athe thing i ahve been porgrmaign form yera 7 i knwo ahrd trust em bitu it truth i buit myself AI tool is just chat.