{"id":16509524,"url":"https://github.com/jeugregg/deeplearningpicturedogs","last_synced_at":"2025-07-24T11:36:53.907Z","repository":{"id":112583114,"uuid":"220813687","full_name":"jeugregg/DeepLearningPictureDogs","owner":"jeugregg","description":" Classify dogs pictures by Deep Learning CNN neural networks","archived":false,"fork":false,"pushed_at":"2020-03-08T22:56:09.000Z","size":21460,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-02T06:14:38.669Z","etag":null,"topics":["classez-des-images","cnn-keras","data","data-science","ipynb","neural-network","vision"],"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/jeugregg.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":"2019-11-10T16:01:43.000Z","updated_at":"2020-03-08T22:56:11.000Z","dependencies_parsed_at":"2023-03-10T04:00:15.080Z","dependency_job_id":null,"html_url":"https://github.com/jeugregg/DeepLearningPictureDogs","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jeugregg/DeepLearningPictureDogs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeugregg%2FDeepLearningPictureDogs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeugregg%2FDeepLearningPictureDogs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeugregg%2FDeepLearningPictureDogs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeugregg%2FDeepLearningPictureDogs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jeugregg","download_url":"https://codeload.github.com/jeugregg/DeepLearningPictureDogs/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeugregg%2FDeepLearningPictureDogs/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259802717,"owners_count":22913697,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["classez-des-images","cnn-keras","data","data-science","ipynb","neural-network","vision"],"created_at":"2024-10-11T15:50:56.957Z","updated_at":"2025-06-14T10:34:08.750Z","avatar_url":"https://github.com/jeugregg.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DeepLearningPictureDogs\nClassify pictures with Deep Learning Model\n\nThis study is to learn to use, create and train  deep learning CNN models (ResNet / VGG).\n\nAn association which helps and hosts a lot of dogs need to classify pictures of their animals.\nTo do that, it is possible to use CNN models by training on Stanford Dogs Dataset (http://vision.stanford.edu/aditya86/ImageNetDogs/).\n\nThese is my works about this study : \n\n01_OC_IML_Project_6_explorations.ipynb : exploration\n\n02_OC_IML_Project_6_my_neural_network.ipynb \u0026 03_OC_IML_Project_6_my_neural_network_2.ipynb : Creation / test of a neural network  CNN from scratch.\n\n04_OC_IML_Project_6_10breeds.ipynb \u0026 05_OC_IML_Project_6_3breeds.ipynb : VGG-16 Neural Network transfert learning \n\n06_OC_IML_Project_6_3breeds_ResNet50.ipynb \u0026 07_OC_IML_Project_6_10breeds_ResNet50.ipynb : ResNet-50 transfert learning\n\n08_OC_IML_Project_6_my_neural_network_DAugm_01.ipynb : data augmentation on my neural network from scratch\n\n\n09_OC_IML_Project_6_10breeds_ResNet50_script.ipynb : notebook to create and test script\n- script_predict_breed.py : command line script to predict breed (ResNet50 10 breeds)\n\t- ResNet50_TL_10b_9.h5 : transfert learning model\n\t- df_dogs.pkl : contains  list of breeds (and other stuff about training pictures)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeugregg%2Fdeeplearningpicturedogs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjeugregg%2Fdeeplearningpicturedogs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeugregg%2Fdeeplearningpicturedogs/lists"}