{"id":22622098,"url":"https://github.com/kareimgazer/classify-cifar-100","last_synced_at":"2026-04-16T10:33:42.343Z","repository":{"id":133119763,"uuid":"446264570","full_name":"KareimGazer/Classify-Cifar-100","owner":"KareimGazer","description":"classifying CIFAR-100 data set using MCSVM and Deep Conv Net","archived":false,"fork":false,"pushed_at":"2024-05-11T16:38:35.000Z","size":480,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-29T02:29:02.578Z","etag":null,"topics":["cifar100","classification","convolutional-neural-networks","deep-learning","feature-extraction","image-classification","machine-learning","neural-network","neural-networks","pca","python","sckit-learn","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/KareimGazer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-01-10T03:08:21.000Z","updated_at":"2024-12-06T13:30:27.000Z","dependencies_parsed_at":null,"dependency_job_id":"f31ac419-ca5a-4d00-aa82-ef773f984f67","html_url":"https://github.com/KareimGazer/Classify-Cifar-100","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/KareimGazer/Classify-Cifar-100","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KareimGazer%2FClassify-Cifar-100","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KareimGazer%2FClassify-Cifar-100/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KareimGazer%2FClassify-Cifar-100/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KareimGazer%2FClassify-Cifar-100/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/KareimGazer","download_url":"https://codeload.github.com/KareimGazer/Classify-Cifar-100/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KareimGazer%2FClassify-Cifar-100/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31882300,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-16T09:23:21.276Z","status":"ssl_error","status_checked_at":"2026-04-16T09:23:15.028Z","response_time":69,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cifar100","classification","convolutional-neural-networks","deep-learning","feature-extraction","image-classification","machine-learning","neural-network","neural-networks","pca","python","sckit-learn","tensorflow"],"created_at":"2024-12-08T23:13:16.230Z","updated_at":"2026-04-16T10:33:42.302Z","avatar_url":"https://github.com/KareimGazer.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Classify-Cifar-100\n\n## Abstract\nImage classification is the objective of identifying whether the image belongs to a particular predefined class or not. It's of vital importance in this era. latest advances in that field enabled self driving cars to be a reality, doctors to detect diseases, and people with disabilities to have a better life. Image classification can be extended to Image detection - detect whether something exists in an image - , and image recognition - which is the ability of software to identify objects, places, people, writing and actions in images.\nIn this paper we tackle the challenge of classifying the 100 classes of the CIFAR-100 large dataset by providing two solutions (namely, MCSVM and Deep Conv Net) and explain our methods, show the results, and discuss how we achieved them.\n## Problem Definition\nIt's required to classify 100 classes of objects found in images of the CIFAR-100 dataset, which contains 50000 training example and 10000 test samples. Images are of size 32x32x3 RGB colored 3-channels images.\n\n## Solution\nIn this paper we propose to solutions to the classification problem:\n- **Multi-Class SVM:** in the form of a shallow neural network with the number of hidden units (in the hidden layer) equal to the number of classes and using the *catagorical_hinge_loss* as the loss function of the model. The model acheives relatively poor performance which we try to enhance in the next proposed model.\n- **Deep Neurak Network:** we introduce a deep neural network withseveral convoluntional layers  to extract and capture the many features of the images, which resulted in a better performance.\n\n### Programming Tools and APIs\n\n- This Notebook is developed totally in **Python**, we used keras API of the **tensorflow 2.0** framework for building deeplearning models.\n- we used the **Eager mode of tensorflow** via its sequential API for its simpilicity.\n- **Numpy** for calculations\n- **Pandas** for data preprocessing\n- **matplotlib** for plotting figures\n- **scikit-learn** for feature extraction\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkareimgazer%2Fclassify-cifar-100","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkareimgazer%2Fclassify-cifar-100","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkareimgazer%2Fclassify-cifar-100/lists"}