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DeepLearning_CONTRIBUTION.md

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Deep Learning

Thanks for efforts & taking out the time to contribute🔥🔥

This sub-directory will contain a particular folders of your chosen project/models/topic and all neccessary files required will be inside that dolder. Your folder should be well-maintiained. You will take the credibility of your project and contributions. It is open to anyone in the global community!

If you're a Deep Learning enthusiast 😎 and want to add any project, models, predictions or snippet of code, your contributions are welcome!


When it comes to Deep Learning, practice and understanding of Neural Netwrok makes one **PRO**! Join us this Hacktoberfest 🎊 to practice and sharpen your DL & NN skill and develop new projects. Work your way up through a self-choosen project that interest you. All that matters is making this October a month of learning and winning Schwags 👕

What is Hacktoberfest2021 🤔?

Hacktoberfest is a month-long celebration of open source software run by DigitalOcean in partnership with Intel, Deespsource and Appwrite. Hacktoberfest encourages participation in the open source community, which grows bigger every year. Complete the 2021 challenge and earn a limited edition T-shirt. Hacktoberfest is open to everyone in the global community!

All that one must do is contribute to any open source project and send atleast 4 pull request between October 1 and October 31. It can be any project and you can contribute in any way possible. It can be a be a bug fix, improvement, feature addition or even a documentation change! And win a T-Shirt and awesome stickers 🤩.

Deep Learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. You can contribute to this repository via creating DL Projects, predictions, tutorials or theory for any particular topic, etc.
Note: Do not put OpenCV related project here, they should be pat of OpenCV.Unrelated project in wrong directory will be rejected.

Steps to Contribute

  • Fork this repo
  • Clone on your local machine
git clone https://github.com/<your username>/PRACTICE_HACKTOBERFEST2021.git
  • For DL 
    cd PRACTICE_HACKTOBERFEST2021/MachineLearning/DL
  • Create a new branch
git checkout -b my-new-branch
  • Add your contributions
  • Commit and push
git add .
git commit -m "your-commit-msg"
git push origin my-new-branch
  • Create a new pull request from your forked repository

Contribution Guidelines 📃

Kindly mention the following while making a PR:

  • It is mandatory to explain your code in brief along with screenshot(.png preferred) and/or video(.gif preferred) of it's working or Simulation Video along the code.
  • If the PR is not in the presenatble format, it will not be merged and marked as invalid.
  • Don't put exclusive OpenCV project in this folder.
  • You can make a new folder for a particular topic that you want to choose as your topic for contribution.
  • Add all the necessary assets to run your program inside projects folder (Example: .ipynb, .collab, dataset-folders, .ppml, .csv, etc)
  • Avoid repeating the topics/projects which are already available.
  • Attch an image of result obtained if any.

All your PRs will be marked as invalid if you don't adhere to the rules.

Keep Contributing!

Resources

If the information from this repo was useful to you in any way, make sure you give it a star 🌟

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