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Judy @esproc_spl

Implementing Handwritten Number Recognition From Scratch With EsProc

Recognizing handwritten Arabic numbers simplified with machine learning. Implemented from scratch without third-party libraries using esProc, achieving 91.1% accuracy in just over 10 lines of code.

Recognizing handwritten Arabic numbers is very simple for human beings, but it is still somewhat complicated for programs.

However, with the popularization of machine learning technology, it is not difficult to implement a program that can recognize handwritten numbers using over 10 lines of code. This is because there are too many machine learning models that can be directly used, such as TensorFlow and Caffe. There are ready-made installation packages available in Python, and for writing a program that recognizes numbers, a little over 10 lines of code is enough.
However, what I want to do...