Amirhossein-Rajabpour/Handwritten-Digit-Recognition-from-scratch
Computational Intelligence Course Project
This project offers a foundational example of how a computer can learn to identify handwritten digits. It takes images of handwritten numbers (like those in the MNIST dataset) as input and outputs the predicted digit. This would be used by students and educators learning about the basics of neural networks and machine learning.
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Use this if you are studying or teaching the fundamental concepts of neural networks and want to see how handwritten digit recognition works from the ground up.
Not ideal if you need a robust, production-ready system for digit recognition or are looking for advanced machine learning techniques beyond basic neural network implementation.
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Jul 26, 2021
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