Batten-Micheal / Deep-Learning-Based-Handwritten-Digit-Classification-Using-CNN-Architecture-View on GitHub
This project implements a Convolutional Neural Network (CNN) to recognize handwritten digits (0–9) using the MNIST dataset. The model is trained on labeled image data, achieving high accuracy in digit classification, and demonstrates the practical application of deep learning techniques in computer vision.”
☆51Mar 4, 2026Updated 5 months ago
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