{"id":21393174,"url":"https://github.com/trandangtrungduc/basicdeeplearningtask","last_synced_at":"2025-07-13T18:31:38.954Z","repository":{"id":193827090,"uuid":"413280398","full_name":"trandangtrungduc/BasicDeepLearningTask","owner":"trandangtrungduc","description":"Code, Resources - Personal Project - CBD Robotics Company - August 1, 2021.","archived":false,"fork":false,"pushed_at":"2024-08-17T05:44:21.000Z","size":3762,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-08T04:56:09.296Z","etag":null,"topics":["classification","computer-vision","deep-learning","natural-language-processing"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/trandangtrungduc.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}},"created_at":"2021-10-04T05:03:20.000Z","updated_at":"2024-08-17T05:44:24.000Z","dependencies_parsed_at":"2023-09-10T09:46:21.617Z","dependency_job_id":null,"html_url":"https://github.com/trandangtrungduc/BasicDeepLearningTask","commit_stats":null,"previous_names":["trandangtrungduc/basicdeeplearningtask"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/trandangtrungduc/BasicDeepLearningTask","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trandangtrungduc%2FBasicDeepLearningTask","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trandangtrungduc%2FBasicDeepLearningTask/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trandangtrungduc%2FBasicDeepLearningTask/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trandangtrungduc%2FBasicDeepLearningTask/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/trandangtrungduc","download_url":"https://codeload.github.com/trandangtrungduc/BasicDeepLearningTask/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trandangtrungduc%2FBasicDeepLearningTask/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265186703,"owners_count":23724724,"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":["classification","computer-vision","deep-learning","natural-language-processing"],"created_at":"2024-11-22T14:09:38.807Z","updated_at":"2025-07-13T18:31:37.978Z","avatar_url":"https://github.com/trandangtrungduc.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Basic Deep Learning Task\n\n### Overview\n- These are useful projects for beginners and intermediates to approaching Deep Learning. Each ipynb file is a different topic (lesson).\n- Dependency: Python and some other libraries are listed in each document (ipynb files).\n\n### Implementation\n1. Natural language processing project: Exploratory data analysis, pre-process, classification models, unsupervised technique, including GridSearchCV, topic modeling (Author_Classification.ipynb).\n    - Pre-process:\n        - Bag of word.\n        - Term Frequence-Inverse Document Frequency.\n        - Word to vector.\n    - Classification:\n        - Naive Bayes.\n        - Logistic Regression.\n        - Decision Tree\n        - Random Forest.\n        - K - Nearest Neighbors.\n        - Supoprt Vector Machine\n        - Gradient Boosting.\n        - Recurrent Neural Networks.\n    - Unsupervised technique:\n        - K - Means.\n        - Agglomerative.\n        - Gaussian Mixture.\n    - Topic modeling:\n        - Latent Dirichlet Allocation.\n        - Latent Semantic Analysis.\n        - Non-Negative Factorization\n3. Image processing project: Exploratory data analysis and fruit classification with Convolution and LSTM (Fruit_Classification.ipynb).\n4. Natural language processing project: Exploratory data analysis, pre-process, apply sequence to sequence and BERT models to data(Watson_project.ipynb).\n5. Natural language processing project: Rule-based chat bot with TD-IDF and Bag of words(Chatbot.ipynb).\n### Maintainers\n* Tran Dang Trung Duc\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrandangtrungduc%2Fbasicdeeplearningtask","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftrandangtrungduc%2Fbasicdeeplearningtask","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrandangtrungduc%2Fbasicdeeplearningtask/lists"}