{"id":17722574,"url":"https://github.com/vaibhavs10/10_days_of_deep_learning","last_synced_at":"2025-08-20T22:13:40.457Z","repository":{"id":79731584,"uuid":"87830876","full_name":"Vaibhavs10/10_days_of_deep_learning","owner":"Vaibhavs10","description":"10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras","archived":false,"fork":false,"pushed_at":"2023-04-12T15:52:22.000Z","size":53788,"stargazers_count":31,"open_issues_count":0,"forks_count":18,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-05-12T14:12:08.273Z","etag":null,"topics":["classification","gensim","keras","nlp","python","tensorflow","tfidf-matrix"],"latest_commit_sha":null,"homepage":null,"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/Vaibhavs10.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":"2017-04-10T16:04:04.000Z","updated_at":"2025-02-21T15:49:18.000Z","dependencies_parsed_at":"2024-10-26T02:25:23.013Z","dependency_job_id":null,"html_url":"https://github.com/Vaibhavs10/10_days_of_deep_learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhavs10%2F10_days_of_deep_learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhavs10%2F10_days_of_deep_learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhavs10%2F10_days_of_deep_learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vaibhavs10%2F10_days_of_deep_learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Vaibhavs10","download_url":"https://codeload.github.com/Vaibhavs10/10_days_of_deep_learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253754220,"owners_count":21958842,"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","gensim","keras","nlp","python","tensorflow","tfidf-matrix"],"created_at":"2024-10-25T15:38:42.064Z","updated_at":"2025-05-12T14:12:25.460Z","avatar_url":"https://github.com/Vaibhavs10.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 10 Days of Deep Learning\n\nI took a challenge upon myself to fast pace my Deep Learning skills using the python data stack. I will take on a real life practical challenge everyday and try to solve it using Deep Learning (Starting from the basics)\n\n## Day 1\n\u003e Text classification using Multi Layered Perceptron and comparing with NN's\n#### TODO:\n1. Use learning rate decay\n2. Batch normalization\n3. More number of epochs\n\n## Day 2\n\u003e Text classification using TFIDF feature matrix and MLP\n#### TODO:\n1. Use LRD, Batch Normalisation\n2. Use Dropout\n3. Further process the TFIDF matrix using TruncatedSVD\n\n## Day 3\n\u003e Text classification using word2vec and MLP\n#### TODO:\n1. Use LRD, Batch Normalisation, Dropout\n2. Tweaking word2vec hyperparams\n\n## Day 4\n\u003e Text classification using Convolutional Neural Networks\n#### TODO:\n1. Use LRD, Batch Normalisation, Dropout\n2. Try a multi-layer Convolutional Network\n\n## Day 5\n\u003e Text classification using Recurrent Neural Networks\n#### TODO:\n1. Use LRD, Batch Normalisation, Dropout\n2. Use a combination of CNN and RNN\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvaibhavs10%2F10_days_of_deep_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvaibhavs10%2F10_days_of_deep_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvaibhavs10%2F10_days_of_deep_learning/lists"}