{"id":24539760,"url":"https://github.com/hafs96/cnn-based_handwritten_digit_recognition","last_synced_at":"2025-12-31T00:20:37.862Z","repository":{"id":273715151,"uuid":"920640599","full_name":"hafs96/CNN-Based_Handwritten_Digit_Recognition","owner":"hafs96","description":"This repository contains a project focused on handwritten digit classification using a Convolutional Neural Network (CNN). 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The model was trained and evaluated on the \npopular MNIST dataset, achieving high accuracy. This project highlights my first \nsteps in neural networks and machine learning.\n\u003c/p\u003e\n\n\u003ch3\u003eProject Highlights\u003c/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eImplemented a CNN with TensorFlow and Keras frameworks.\u003c/li\u003e\n  \u003cli\u003eVisualized training and validation accuracy and loss over epochs.\u003c/li\u003e\n  \u003cli\u003eEvaluated the model on test data and displayed predictions alongside actual labels.\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003ch3\u003eKey Features\u003c/h3\u003e\n\u003cul\u003e\n  \u003cli\u003ePython 3.10\u003c/li\u003e\n  \u003cli\u003eFramework: TensorFlow 2.12.0\u003c/li\u003e\n  \u003cli\u003eKey Libraries: NumPy, Matplotlib\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003ch3\u003eTechnical Configuration\u003c/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eProcessor: Intel i5-1035G1\u003c/li\u003e\n  \u003cli\u003eRAM: 8 GB\u003c/li\u003e\n  \u003cli\u003eGPU: Not used (training on CPU)\u003c/li\u003e\n\u003c/ul\u003e\n\n\u003ch3\u003eRepository\u003c/h3\u003e\n\u003cp\u003e\nYou can explore the project details, code, and results in this repository: \n\u003ca href=\"https://github.com/hafs96/CNN-Based_Handwritten_Digit_Recognition\" target=\"_blank\"\u003e\nGitHub Repository\n\u003c/a\u003e.\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhafs96%2Fcnn-based_handwritten_digit_recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhafs96%2Fcnn-based_handwritten_digit_recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhafs96%2Fcnn-based_handwritten_digit_recognition/lists"}