{PROJECT ADD] Image-Classification-using-CIFAR-10-dataset Using DL

[Ayushmaanagarwal1211]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Image-Classification using CIFAR 10 dataset Using DL
:red_circle: Aim :Implement different Convolutional Neural Networks (CNN) classifiers using GPU-enabled Tensorflow and Keras API Compare different CNN architectures
:red_circle: Dataset : GPU-enabled Tensorflow Keras API
:red_circle: Approach : Creating custom pynb code .

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Email ID :
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? (Mention the Open Source program)

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[github-actions[bot]]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[abhisheks008]

CIFAR 10 is huge dataset. Can you specify which genre of images you are planning to use here?

[Gaurav-576]

Is this issue up for grabs?

[abhisheks008]

Closing this issue as duplicate.