{"id":24880109,"url":"https://github.com/zviniicius/ml_transferlearning","last_synced_at":"2026-06-30T04:31:30.409Z","repository":{"id":269910847,"uuid":"908831426","full_name":"zViniicius/ML_TransferLearning","owner":"zViniicius","description":"O projeto consiste em aplicar o método de Transfer Learning em uma rede de Deep Learning na linguagem Python no ambiente COLAB.","archived":false,"fork":false,"pushed_at":"2024-12-27T06:02:24.000Z","size":3195,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-27T05:16:23.984Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zViniicius.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-12-27T04:39:50.000Z","updated_at":"2024-12-27T06:02:27.000Z","dependencies_parsed_at":"2024-12-27T05:24:04.073Z","dependency_job_id":"34117490-cfec-4a6f-a43d-91a478a5bd0f","html_url":"https://github.com/zViniicius/ML_TransferLearning","commit_stats":null,"previous_names":["zviniicius/ml_transferlearning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zViniicius/ML_TransferLearning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zViniicius%2FML_TransferLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zViniicius%2FML_TransferLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zViniicius%2FML_TransferLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zViniicius%2FML_TransferLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zViniicius","download_url":"https://codeload.github.com/zViniicius/ML_TransferLearning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zViniicius%2FML_TransferLearning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34952850,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-30T02:00:05.919Z","response_time":92,"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":[],"created_at":"2025-02-01T10:18:52.714Z","updated_at":"2026-06-30T04:31:30.381Z","avatar_url":"https://github.com/zViniicius.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Projeto de Transfer Learning em Python\n\n\n\n## 💻 Reconhecimento de Imagem: Cães vs Gatos\n\n\u003cp\u003e# Desafio-DIO \u003c/p\u003e\n\u003cp\u003eRepositório criado para apresentar os desafio de código realizado na plataforma DIO - Digital Innovation One. \u003c/p\u003e\n\u003cp\u003eO projeto consiste em aplicar o método de Transfer Learning em uma rede de Deep Learning na linguagem Python no ambiente COLAB.  \u003c/p\u003e\n\u003chr/\u003e\n\n\n\n## 🚀 Tecnologias\n\nEsse projeto foi desenvolvido com as tecnologias:\n\n- COLAB\n- Python\n\n\u003chr/\u003e\n\n\n\n## 📃**Descrição do Desafio**\n\n### **Projeto de Transfer Learning em Python**\n\n1. O projeto consiste em aplicar o método de Transfer Learning em uma rede de Deep Learning na linguagem Python no ambiente COLAB.  \n\n2. Para exemplo, utilizaremos o seguinte projeto que realiza Transfer Learning com o Dataset do MNIST: \n   \u003chttps://colab.research.google.com/github/kylemath/ml4a-guides/blob/master/notebooks/transfer-learning.ipynb\u003e \n\n3. O dataset utilizado engloba duas classes: gatos e cachorros. Uma descrição da base de dados pode ser visualizada neste link: \u003chttps://www.tensorflow.org/datasets/catalog/cats_vs_dogs\u003e. \n\n4. Já o dataset para download pode ser acessado por meio deste outro link:\n\n   \u003chttps://www.microsoft.com/en-us/download/details.aspx?id=54765\u003e. \n\n\n1. Observações: Neste projeto, você pode usar sua própria base de dados (exemplo: fotos suas, dos seus pais, dos seus amigos, dos seus animais domésticos, etc), o exemplo de gatos e cachorros, pode ser substituído por duas outras classes do seu interesse. O Dataset criado em nosso projeto anterior, pode ser utilizado agora.  \n2. O projeto deve ser enviado para o GitHub da DIO: \u003chttps://github.com/digitalinnovationone\u003e.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzviniicius%2Fml_transferlearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzviniicius%2Fml_transferlearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzviniicius%2Fml_transferlearning/lists"}