Skip to content

Commit

Permalink
Merge pull request #530 from TanyaSingh103/readme-correction
Browse files Browse the repository at this point in the history
README Enhancement of DL-Simplified Project Repository
  • Loading branch information
abhisheks008 authored May 12, 2024
2 parents da34c55 + dee2cef commit 226737c
Showing 1 changed file with 12 additions and 12 deletions.
24 changes: 12 additions & 12 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -21,14 +21,14 @@

****************************************************
## 🔴 Welcome contributors!
Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. The concept of deep learning is not new. It has been around for a couple of years now. It’s on hype nowadays because earlier we did not have that much processing power and a lot of data. As in the last 20 years, the processing power increases exponentially, deep learning and machine learning came in the picture. </br> </br>
**Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning.**
Deep learning is a subset of machine learning, which is essentially a neural network with three or more layers. These neural networks attempt to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. The concept of deep learning is not new. It has been around for a couple of years now. It’s in hype nowadays because earlier we did not have that much processing power and a lot of data. As in the last 20 years, the processing power increased exponentially, deep learning and machine learning came into the picture. </br> </br>
**Deep Learning Simplified is an open-source repository containing beginner to advanced-level deep learning projects for contributors who are willing to start their journey in deep learning.**

## Structure of the Projects 📝
This repository consists of various machine learning projects, and all of the projects must follow a certain template. I wish the contributors will take care of this while contributing in this repository. <br><br>
**Dataset** - This folder stores the dataset used in this project. If the Dataset is not being able to uploaded in this folder due to the large size, then put a README.md file inside the Dataset folder and put the link of the collected dataset in it. That'll work!<br><br>
**Images** - This folder is used to store the images generated during the data analysis, data visualization, data segmentation of the project.<br><br>
**Model** - This folder would have your project file (that is .ipynb file) be it analysis or prediction. Other than project file, it should also have a **'README.md'** using this [template](https://github.com/abhisheks008/DL-Simplified/blob/main/.github/readme_template.md) and **'requirements.txt'** file which would be enclosed with all needed add-ons and libraries that are included in the project.</br></br>
This repository consists of various machine learning projects, and all of the projects must follow a certain template. I want the contributors to keep this in mind while contributing to this repository. <br><br>
**Dataset** - This folder stores the dataset used in this project. If the dataset cannot be uploaded to this folder due to its large size, then put a README.md file inside the Dataset folder and include the link to the collected dataset. That'll work!<br><br>
**Images** - This folder is used to store the images generated during the data analysis, data visualization, and data segmentation of the project.<br><br>
**Model** - This folder will contain your project file (that is .ipynb file) whether it's for analysis or prediction. In addition to the project file, it should also have a **'README.md'** using this [template](https://github.com/abhisheks008/DL-Simplified/blob/main/.github/readme_template.md) and **'requirements.txt'** file that includes all necessary add-ons and libraries for the project.</br></br>
Please follow the [Code of Conduct](https://github.com/abhisheks008/DL-Simplified/blob/main/Code_of_conduct.md) and [Contributing Guidelines](https://github.com/abhisheks008/DL-Simplified/blob/main/CONTRIBUTING.md) while contributing in this project repository.

## 🧮 Workflow
Expand All @@ -40,8 +40,8 @@ Please follow the [Code of Conduct](https://github.com/abhisheks008/DL-Simplifie
- Clone your forked repository using terminal or gitbash. Also you can simply use the web version of GitHub to add your files.
- Make changes to the cloned repository.
- Add, Commit and Push.
- Then in Github, in your cloned repository find the option to make a pull request.
- Project admin will evaluate your PR and provide remarks accordingly. If it satisfies all the criterias, your PR will be merged and your contributions will be counted.
- Then on GitHub, in your cloned repository, find the option to make a pull request.
- The project admin will evaluate your PR and provide remarks accordingly. If it satisfies all the criteria, your PR will be merged, and your contributions will be counted.


************************************************************
Expand Down Expand Up @@ -70,7 +70,7 @@ Please follow the [Code of Conduct](https://github.com/abhisheks008/DL-Simplifie
</table>

## 🤔 New to Open Source programs/events!
Here are few articles which will help you to get an idea on how you start contributing in open source projects,
Here are a few articles that will help you get an idea of how to start contributing to open source projects:
You can refer to the following articles on the basics of Git and Github.
- [Watch this video to get started, if you have no clue about open source](https://youtu.be/SYtPC9tHYyQ)
- [Forking a Repo](https://help.github.com/en/github/getting-started-with-github/fork-a-repo)
Expand Down Expand Up @@ -98,7 +98,7 @@ You can refer to the following articles on the basics of Git and Github.
****************************************************************
<h2>✨Top Contributors</h2>

Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀
Thanks to these wonderful people! Contributions of any kind are welcome! 🚀

<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
<!-- prettier-ignore-start -->
Expand All @@ -117,13 +117,13 @@ Thanks goes to these Wonderful People. Contributions of any kind are welcome!

[![GitHub followers](https://img.shields.io/github/followers/abhisheks008.svg?label=Follow%20@abhisheks008&style=social)](https://github.com/abhisheks008/) [![Twitter Follow](https://img.shields.io/twitter/follow/abhishek_py3?style=social)](https://twitter.com/abhishek_py3)

If you liked working on this project, do ⭐ and share this repository.
If you liked working on this project, give it a ⭐ and share this repository.

🎉 🎊 😃 Happy Contributing 😃 🎊 🎉

<h2>📬 Contact</h2>

If you want to contact me, you can reach me through social handles.
If you'd like to contact me, you can reach me through my social media handles.

<a href="https://twitter.com/abhishek_py3"><img src="https://seeklogo.com/images/T/twitter-icon-circle-blue-logo-0902F48837-seeklogo.com.png" width="25"></img></a>&nbsp;&nbsp; <a href="https://www.linkedin.com/in/abhishek-sharma-aa06a9183/"><img src="https://www.felberpr.com/wp-content/uploads/linkedin-logo.png" width="25"></img></a>

Expand Down

0 comments on commit 226737c

Please sign in to comment.