{"id":20110187,"url":"https://github.com/sudarshanasrao/ee541-deep_learning-usc","last_synced_at":"2026-04-10T07:44:57.440Z","repository":{"id":61208716,"uuid":"544512826","full_name":"SudarshanaSRao/EE541-Deep_Learning-USC","owner":"SudarshanaSRao","description":"USC graduate level Deep Learning course","archived":false,"fork":false,"pushed_at":"2025-01-02T18:01:11.000Z","size":2508,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-02T18:34:04.488Z","etag":null,"topics":["cnn","deep-learning","mlp-networks","neural-networks","numpy","python","pytorch","scipy"],"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/SudarshanaSRao.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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":"2022-10-02T17:06:51.000Z","updated_at":"2025-01-02T18:01:14.000Z","dependencies_parsed_at":"2024-11-13T18:11:02.176Z","dependency_job_id":"b5b5b865-5fc1-42e8-98ff-3570fd964a22","html_url":"https://github.com/SudarshanaSRao/EE541-Deep_Learning-USC","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SudarshanaSRao/EE541-Deep_Learning-USC","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SudarshanaSRao%2FEE541-Deep_Learning-USC","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SudarshanaSRao%2FEE541-Deep_Learning-USC/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SudarshanaSRao%2FEE541-Deep_Learning-USC/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SudarshanaSRao%2FEE541-Deep_Learning-USC/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SudarshanaSRao","download_url":"https://codeload.github.com/SudarshanaSRao/EE541-Deep_Learning-USC/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SudarshanaSRao%2FEE541-Deep_Learning-USC/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264613864,"owners_count":23637447,"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":["cnn","deep-learning","mlp-networks","neural-networks","numpy","python","pytorch","scipy"],"created_at":"2024-11-13T18:10:50.323Z","updated_at":"2026-04-10T07:44:52.411Z","avatar_url":"https://github.com/SudarshanaSRao.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# USC EE541-Deep-Learning\nWelcome to the repository for my **Deep Learning (EE541)** assignments! All the assignments in this repo were coded using **Python**. Below, you'll find the relevant files for each assignment, including datasets and Jupyter notebooks.\n\n## Introduction\nThis repository contains my solutions to the **Deep Learning (EE541)** assignments. These assignments cover various deep learning concepts, including neural networks, CNNs, ANNs, multi-layer perceptrons, clustering, and unsupervised learning, using popular frameworks/libraries like **PyTorch**, **scikit-learn**, **NumPy**, etc.\n\n## Assignments\n### Assignment 1.3\n- **Files**:\n  - `func.py`: Contains the main functions for this assignment.\n  - `EE541_HW-1_3.ipynb`: A Jupyter notebook for Assignment 1.3 with implementation and explanations.\n  \nThis assignment involves building and training deep learning models for a specific task (e.g., classification, regression). The notebook includes detailed explanations of the model architecture, data preprocessing, and evaluation metrics.\n\n### Assignment 2.1\n- **Dataset**: `raman.txt`\n  \nThis assignment uses the **raman.txt** dataset, which contains data for clustering tasks. The focus is on applying clustering algorithms like K-Means or hierarchical clustering to group the data based on its features.\n\n### Assignment 2.2\n- **Dataset**: `cluster.txt`\n  \nThis assignment uses the **cluster.txt** dataset, where the task is to apply clustering techniques (e.g., K-Means) to categorize data points into clusters. The focus is on feature extraction, dimensionality reduction, and cluster evaluation.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsudarshanasrao%2Fee541-deep_learning-usc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsudarshanasrao%2Fee541-deep_learning-usc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsudarshanasrao%2Fee541-deep_learning-usc/lists"}