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Uses the keras Mnist database of handwritten digits to train a Artificial Neural Network. Further uses pygame to allow users to draw their own digits on an 28*28 pixels space and uses the trained model to predict the digit. Also contains the functionality of saving custom images and testing the model on them.

Python 33.01% PureBasic 32.26% PowerShell 30.12% Batchfile 4.61%
neural-networks opencv pygame tensorflow

handwritten_digit_recognition's Introduction

Hey, I'm Praneet Karna

     

I'm a Student Developer at BITS Pilani!

  • 💻 App Developer at DVM - BITS Pilani
  • 👀 Interested in App and Game development
  • 🌱 Proficient in AppDev using Java, Kotlin and Flutter
  • 🎯 Beginner in Full-Stack WebDev using MERN stack

Languages and Tools:

Visual Studio Code

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