Deep Learning Simplified
Welcome to Deep Learning Simplified! ๐ This open-source repository is a treasure trove of deep learning projects, suitable for everyone from beginners to advanced learners. The main goal of the project is to break down deep learning concepts and provide a practical platform for contributors to initiate or further their exploration into the captivating field of neural networks. Whether you're highly experienced in machine learning or just taking your first steps, you'll find valuable resources and projects to engage with here. ๐
For more information, please visit the official Deep Learning Simplified website: Click Here! ๐ฏ
Welcome Contributors! ๐ด
Deep learning, a subset of machine learning, involves neural networks with multiple layers. These networks aim to mimic how the human brain operates, albeit with much lesser capability, by learning from large volumes of data. Deep learning allows for the creation of computational models with many processing layers, which can learn representations of data at various levels of abstraction. While the concept isn't new, its popularity has surged with the increase in processing power and data availability over the past two decades. Deep Learning Simplified serves as a repository full of deep learning projects for contributors eager to embark on their deep learning journey.
Structure of the Projects ๐
This repository houses a multitude of machine learning projects, each following a specific template:
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Dataset: This folder contains the dataset used in the project. If the dataset is too large to upload, a README.md file with a dataset link should be included instead.
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Images: This folder is for storing images produced during data analysis, visualization, and segmentation.
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Model: This folder should contain the project file (.ipynb) for analysis or prediction, along with a README.md using a template and a requirements.txt file listing necessary libraries.
Contributors should follow the Code of Conduct and Contributing Guidelines when contributing to the project.
๐งฎ Workflow
- Look through the project repository and the README to understand the repository's structure.
- Check existing Issues and comment on one you'd like to work on.
- Wait for the issue to be assigned to you.
- Fork the repository.
- Clone your fork using terminal or Gitbash, or use the web version of GitHub to add files.
- Make and commit changes.
- Push them to the forked repository.
- Create a pull request from your fork.
The project admin will review your pull request and provide feedback. If the criteria are met, your pull request will be merged and your contributions counted.
โ๏ธ Open Source Programs!
This project has participated in several open-source events, such as SSOC and SWOC, where it often aids new contributors in understanding and engaging with open-source projects. These programs offer a great way for enthusiasts to start their journey in the open-source community.
๐ค New to Open Source?
For those unfamiliar with open-source projects, the project offers several resources to help you get started with Git and GitHub. It includes guides and articles on forking a repository, creating pull requests, and the basics of using Git and GitHub.
๐ Achievements of this Project Repo ๐
The project has been recognized multiple times as a "TOP PROJECT ADMIN" in various Social Summer and Winter of Code events, marking its significant influence and contribution within the open-source community.
Project Admin
The project is ably managed by Abhishek Sharma, who has made significant contributions to the repo's development and open-source community.
Top Contributors โจ
Thanks to all the contributors who have enriched this project! Contributions of any kind are welcome, and the project thrives due to collective efforts.
Star This Project โญ
If you find the project helpful or engaging, give it a star on GitHub and share it with others. Your support is invaluable to growing the project and community.
๐ฌ Contact
For any inquiries or communications, you can reach out to Abhishek Sharma via social media links provided in the project documentation.
Enjoy and happy contributing! ๐ ๐ ๐