{"id":31642247,"url":"https://github.com/karthik-k11/deep-learning","last_synced_at":"2026-05-08T07:32:34.723Z","repository":{"id":315460887,"uuid":"1059585742","full_name":"karthik-k11/Deep-Learning","owner":"karthik-k11","description":"A repository documenting my journey as I learn and implement deep learning models using Tensorflow and Keras","archived":false,"fork":false,"pushed_at":"2025-09-18T17:20:23.000Z","size":54,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-18T20:02:04.200Z","etag":null,"topics":["deep-learning","deep-neural-networks","keras","python","tensorflow"],"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/karthik-k11.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-18T16:38:16.000Z","updated_at":"2025-09-18T17:20:27.000Z","dependencies_parsed_at":"2025-09-18T20:02:06.610Z","dependency_job_id":"e6fb05e4-f193-4c23-ae4b-a181fb12fc14","html_url":"https://github.com/karthik-k11/Deep-Learning","commit_stats":null,"previous_names":["karthik-k11/deep-learning"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/karthik-k11/Deep-Learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/karthik-k11%2FDeep-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/karthik-k11%2FDeep-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/karthik-k11%2FDeep-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/karthik-k11%2FDeep-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/karthik-k11","download_url":"https://codeload.github.com/karthik-k11/Deep-Learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/karthik-k11%2FDeep-Learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278717450,"owners_count":26033542,"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":"2025-10-07T02:00:06.786Z","response_time":59,"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":["deep-learning","deep-neural-networks","keras","python","tensorflow"],"created_at":"2025-10-07T03:57:44.130Z","updated_at":"2026-05-08T07:32:34.708Z","avatar_url":"https://github.com/karthik-k11.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# My Deep Learning Journey\n\nWelcome to my repository of deep learning projects! This space serves as a portfolio of my work and a log of my progress in the field of Artificial Intelligence. Each project here represents a new concept learned and a new problem solved.\n\n## 🚀 Projects\n\n![DL_Cover](https://github.com/user-attachments/assets/c485c7ec-bdba-41d6-94ce-279c9188f061)\n\nHere is a summary of the projects completed so far. As I continue to learn, this list will grow.\n\n| # | Project Name | Description | Key Concepts Learned |\n|---|---|---|---|\n| 1 | **Handwritten Digit Recognition (MNIST)** | A foundational \"Hello, World!\" project for image classification. This notebook builds a simple feed-forward neural network to recognize handwritten digits from 0 to 9 with ~98% accuracy. | `TensorFlow/Keras`, `Sequential Model`, `Dense Layers`, `Data Preprocessing \u0026 Normalization`, `Model Training \u0026 Evaluation` |\n| 2 | **IMDb Movie Review Sentiment Analysis** | An introductory NLP project performing binary classification on movie reviews. The model uses word embeddings and dense layers with **Dropout** regularization to fix overfitting, achieving ~87.8% accuracy. | `NLP \u0026 Word Embeddings`, `Sequence Padding`, `Binary Classification`, `Dropout Regularization`, `GlobalAveragePooling1D`, `Overfitting Analysis` |\n\n\n## 🛠️ Technologies \u0026 Tools\n\n* **Primary Framework:** TensorFlow \u0026 Keras\n* **Core Libraries:** NumPy, Matplotlib\n* **Development Environment:** Kaggle Notebooks\n* **Version Control:** Git \u0026 GitHub\n\n## Usage\n\nEach project is contained within its own Jupyter Notebook (`.ipynb` file). To explore a project, you can clone this repository and run the notebook in an environment like Kaggle, Google Colab, or a local setup with the required libraries installed.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarthik-k11%2Fdeep-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkarthik-k11%2Fdeep-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkarthik-k11%2Fdeep-learning/lists"}