Python_Projects VS NNfSiX

Howdy, sorry that you are struggling with the machine learning concepts. As an additional resource you may be able to benefit from, here is my DNN from scratch : https://github.com/JTexpo/Python_Projects/blob/main/Neural_Networks/DNN_Math_Selenium/PythonBot/deep_neural_network.py

For ethical reason I won't provide the exact solution; however, a simplification can be found on my GitHub: https://github.com/JTexpo/Python_Projects/tree/main/Neural_Networks/DNN_Math_Selenium

Howdy, lately I have been wanting to educate other on machine learning and and AI. I have placed my code here: https://github.com/JTexpo/Python_Projects/tree/main , and was hoping for some feedback on how I could make the code / repo even more user friendly or just overall remove any obvious code smells.

GitHub: https://github.com/JTexpo/Python_Projects (more ML projects!) YouTube: https://www.youtube.com/@jtexpo (Tutorials over GitHub projects)

I've also been recently trying to showcase how AI works, and have been building models from scratch using different concepts ranging from neural networks, to minimax, decision trees, and even graph theory if you are interested. My solutions can be found on my GitHub and YT Personal GitHub: https://github.com/JTexpo/Python_Projects YT (covers GitHub code): https://www.youtube.com/@JTexpo

Howdy, I would strongly recommend using as much as possible when defining stuff in code. It may be a hot take to some; however, there is nothing worse than re-reading (or worse refactoring) code with poor naming conventions and no docstring. If you are interested in how I name my variables, my most recent GitHub push was this: https://github.com/JTexpo/Python_Projects/tree/main/SPD_Battleship where I create an AI to play battleship

GitHub: https://github.com/JTexpo/Python_Projects/tree/main/SPD_Battleship

GitHub: https://github.com/JTexpo/Python_Projects/blob/main/DNN_Math_Selenium/PythonBot/deep_neural_network.py YouTube Video: https://youtu.be/x2YmEX1XzGI (please forgive the low quality, one of first videos made)

GitHub Code Decision Tree from Scratch: https://github.com/JTexpo/Python_Projects/tree/main/TkMD_Decision_Tree YT Video Decision Trees / Random Forests: https://youtu.be/lrMsO0qGJd4

DNN from scratch YT link: https://youtu.be/x2YmEX1XzGI (sorry for choppy mic and such, was an early vid) DNN from scratch GitHub: https://github.com/JTexpo/Python_Projects/tree/main/DNN_Math_Selenium

I've been rather enjoying "Neural Networks from Scratch" (https://nnfs.io/)

I haven't gotten super deep into it yet, but https://nnfs.io/ has been good in my opinion. The book slowly replaces written and explained code with numpy equivalents to keep the examples fast. Plus the accompanying animations are also useful. I would be curious what others think on it too.

For those curious to writing "gradient descent with respect to some loss function" starting from an empty .py file (and a numpy import, sure), can't recommend enough Harrison "sentdex" Kinsley's videos/book Neural Networks from Scratch in Python [1].

[1] https://youtu.be/Wo5dMEP_BbI?list=PLQVvvaa0QuDcjD5BAw2DxE6OF... https://nnfs.io

Not sure if foundational (quite a tall order in such a fast-moving field), but for sure a nice introduction into neural networks, and even mathematics in general (because it's nice to see numbers in action beyond school-level algebra):

Harrison Kinsley, Daniel Kukiela, Neural Networks from Scratch, https://nnfs.io, https://www.youtube.com/watch?v=Wo5dMEP_BbI&list=PLQVvvaa0Qu...

Have you had a look at https://nnfs.io/ ? I bought the book and am gearing up to start working through it, I would be interested to know your thoughts. Generally I want to chart a personal curriculum from data engineer to practical application of modern AI to real business problems.

You can check out Neural Networks from Scratch in Python for an introduction to neural networks, which can be used for image classification. Please be forewarned that you'll need the mathematics necessary to read through this book - however, I'm assuming that since you've selected writing such an algorithm(s) in Python for your final school project that you're aware of such.

I am planning on working my way through Neural Networks From Scratch (https://nnfs.io/) in a few months just to build my understanding. After that I'm hoping to be able to figure out the best path for a couple of projects I have in mind.