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.

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.

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.

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!

Images - This folder is used to store the images generated during the data analysis, data visualization, data segmentation of the project.

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 and 'requirements.txt' file which would be enclosed with all needed add-ons and libraries that are included in the project.

Please follow the Code of Conduct and Contributing Guidelines while contributing in this project repository.

• Fork the repository
• Clone your forked repository using terminal or gitbash.
• 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

Social SoC 2022 PR Count: 11

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Abhishek Sharma

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

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

🎉 🎊 😃 Happy Contributing 😃 🎊 🎉

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© 2022 Abhishek Sharma