{"id":18483931,"url":"https://github.com/computingvictor/deeplearning_practices","last_synced_at":"2025-08-03T19:36:50.641Z","repository":{"id":171077331,"uuid":"605109201","full_name":"ComputingVictor/DeepLearning_Practices","owner":"ComputingVictor","description":"Evaluation Practices done for the Deep Learning subject","archived":false,"fork":false,"pushed_at":"2023-02-22T14:04:37.000Z","size":2323,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-16T21:41:38.347Z","etag":null,"topics":["cifar10","cifar100","cunef","data-science","deep-learning","jupyter","neural-network"],"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/ComputingVictor.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":"2023-02-22T13:17:22.000Z","updated_at":"2023-02-22T13:32:40.000Z","dependencies_parsed_at":null,"dependency_job_id":"d4fdae06-4c4c-47c5-8af9-c2c88393eb34","html_url":"https://github.com/ComputingVictor/DeepLearning_Practices","commit_stats":null,"previous_names":["computingvictor/deeplearning_practices"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FDeepLearning_Practices","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FDeepLearning_Practices/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FDeepLearning_Practices/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ComputingVictor%2FDeepLearning_Practices/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ComputingVictor","download_url":"https://codeload.github.com/ComputingVictor/DeepLearning_Practices/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254021904,"owners_count":22001019,"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":["cifar10","cifar100","cunef","data-science","deep-learning","jupyter","neural-network"],"created_at":"2024-11-06T12:37:55.951Z","updated_at":"2025-05-13T20:37:22.997Z","avatar_url":"https://github.com/ComputingVictor.png","language":"Jupyter Notebook","readme":"# Deep Learning Practices\n\n\n\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https://d29jy8ovkd5kcx.cloudfront.net/wp-content/uploads/2021/11/29093432/44.jpg\" /\u003e\u003c/div\u003e\n\n\n## About the project\n\nThis repository will include the evaluable practices of the subject 'Deep Learning' belonging to the Master in Data Science at CUNEF during the academic year 2022-2023.\n\n\n## Built with \n\n\n- Python 3.10\n- Jupyter Notebook\n- Visual Code\n- Tensorflow\n- Sklearn\n- Keras\n\n## Content of the repository\n\n- `Practice 1- Cifar 100`:\n\n In this practice we will perform **different tests of neural networks**. Once 8 neural networks of different characteristics have been modeled, we will keep the one that has achieved the **best result** in the **validation set**. \n\nSubsequently, we will study how the score affects the **variation of the batch size and the number of neurons in each layer**, plotting the results.\n\nFinally, we will make a **comparison between different Machine Learning models and the resulting scores of each one**.\n\n- `Practice 2- Best Score`: \n\nIn this practice we will have to obtain the highest score with the CIFAR-100 dataset. For this we will have to use the different types of networks/layers and optimizers seen in class, modifying their hyperparameters, batch sizes, etc...\n\n\n\n\n## Contact\n\nVíctor Viloria Vázquez - \u003cvictor.viloria@cunef.edu\u003e\n\nProject Link: \u003chttps://github.com/ComputingVictor/DeepLearning_Practices\u003e\n\nLinkedIn - \u003chttps://www.linkedin.com/in/vicviloria/\u003e\n\n\n\u003ca href=\"#top\"\u003eBack to top\u003c/a\u003e\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomputingvictor%2Fdeeplearning_practices","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcomputingvictor%2Fdeeplearning_practices","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcomputingvictor%2Fdeeplearning_practices/lists"}