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Tom-Mitchell-s-Facial-Recognition-Python-Code
I was reading the great Tom Mitchel's book on machine learning and I came across one of its examples which were about facial recognition using artificial intelligence. The book has provided us with C++ code, yet I thought it would be useful to write the code in Python. (I searched but could not find a Python code) So I wrote the code, and I have assumed that python will do nothing special for backpropagation learning and I wrote the code from scratch. In this manner, the code is longer and maybe harder to read. Yet, it shows a beginner how exactly the backpropagation works. Also, you should try different hyper-parameters in the code ( learning rate and epochs) to achieve desirable results.
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This project was completed in the Jupyter notebook using the Beautifulsoup module of BS4 and the Python scripting language. This is a web scraping script that quickly and efficiently scrapes novel chapters from websites (in this case, "https://tales.xperimentalhamid.com/") and then compiles them into PDF files. It's irritating to keep clicking "next chapter" when reading online with advertisements. As a result, I wrote this script. I hope you enjoy it.
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Jupyter NotebookNo license
⑂ 0 forks◯ 0 issuesUpdated Jan 30, 2026