{"id":15159170,"url":"https://github.com/gilberto-xyz/ml","last_synced_at":"2026-02-14T20:36:04.549Z","repository":{"id":154018851,"uuid":"461408366","full_name":"Gilberto-xyz/ML","owner":"Gilberto-xyz","description":"Repositorio practico de introduccion a machine learning","archived":false,"fork":false,"pushed_at":"2022-03-12T00:18:26.000Z","size":6295,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-07T16:19:47.280Z","etag":null,"topics":["keras","machine-learning","tensorflow","tensorflow-tutorials"],"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/Gilberto-xyz.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":"2022-02-20T06:51:16.000Z","updated_at":"2022-03-11T23:54:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"03e8daf3-2337-4e75-af22-cd6b2ef6f520","html_url":"https://github.com/Gilberto-xyz/ML","commit_stats":{"total_commits":12,"total_committers":2,"mean_commits":6.0,"dds":0.08333333333333337,"last_synced_commit":"0aa5b3e6dfe5c2019f28ad39574ea76a0df42a31"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Gilberto-xyz/ML","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gilberto-xyz%2FML","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gilberto-xyz%2FML/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gilberto-xyz%2FML/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gilberto-xyz%2FML/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gilberto-xyz","download_url":"https://codeload.github.com/Gilberto-xyz/ML/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gilberto-xyz%2FML/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278931706,"owners_count":26070801,"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","status":"online","status_checked_at":"2025-10-08T02:00:06.501Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["keras","machine-learning","tensorflow","tensorflow-tutorials"],"created_at":"2024-09-26T21:01:59.286Z","updated_at":"2025-10-08T11:17:37.260Z","avatar_url":"https://github.com/Gilberto-xyz.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Machine Learning\n\nRepositorio practico de introduccion a machine learning\n\n## Red neuronal de pesos aleatorios\nMediante esta simple red neuronal se pueden generar imagenes como esta:  \n[Notebook](https://github.com/GilbertoNavaMarcos/ML/blob/95081e538180ccbad961af126bc80a46327d1667/Red%20neuronal%20de%20pesos%20aleatorios.ipynb)\n\n![neuralnet](https://github.com/GilbertoNavaMarcos/ML/blob/main/output.png?raw=true)\n\n\n## Intro\n\n### Nootebook 1\nLa red neuronal que genera imagenes se encuentra en: \n`Red neuronal de pesos aleatorios.ipynb` [Nootebook](https://github.com/GilbertoNavaMarcos/ML/blob/main/Red%20neuronal%20de%20pesos%20aleatorios.ipynb)\n\n\nDonde todo se realiza de manera manual y es complementado con teoria\n\n### Nootebook 2\nYa con la teoria base, se realiza una Rede neuronal convolucion en con ayuda de TensorFlow y Keras: \n`Introducción a las redes neuronales convolucionales con TensorFlow y Keras.ipynb` [Nootebook](https://github.com/GilbertoNavaMarcos/ML/blob/main/Introducci%C3%B3n%20a%20las%20redes%20neuronales%20convolucionales%20con%20TensorFlow%20y%20Keras.ipynb)\n\n### Nootebook 3\nComo parte final, se analiza el dataset de Modas: `Fashion MNIST.ipynb` [Notebook](https://github.com/GilbertoNavaMarcos/ML/blob/main/Fashion%20MNIST.ipynb) \nEntrenando el modelo para predecir el tipo de prenda mostrada de manera aleatoria\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgilberto-xyz%2Fml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgilberto-xyz%2Fml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgilberto-xyz%2Fml/lists"}