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This is probably one of the most popular datasets among machine learning and deep learning enthusiasts. The MNIST dataset contains 60,000 training images of handwritten digits from zero to nine and 10,000 images for testing. So, the MNIST dataset has 10 different classes. The handwritten digits images are represented as a 28×28 matrix where each cell contains grayscale pixel value. 🔢🔎

License: GNU General Public License v3.0

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computer-vision dataset digit handwritten-images neural-networks pixel

digit-recognizer's Introduction

Welcome to my Github

Hello World !👋

I'm Swaraj Chaudhari, a human being who is passionate about simplifying things through technology.👋

  • 🌱 Currently working on CP&AI
  • 🥅 2021 Goals : Have a good CP profile & Contribute to Open Source projects
  • 😄 Pronouns: Passionate | Ambitious | Sarcastic
  • 📫 How to reach me - [email protected]
  • 🎮 I love to play video games
  • ⚡ Fun fact: Sadly there isn't anything fun about me!

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Swaraj Chaudhari| Hackerrank Swaraj Chaudhari | Codechef Swaraj Chaudhari | Kaggle Swaraj Chaudhari | Kaggle

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