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HANDWRITTEN DIGIT RECOGNITION BY MNIST

MNIST dataset:

MNIST is a collection of handwritten digits from 0-9. Image of size 28 X 28

Requirements

  • Python 3.5 +
  • Scikit-Learn (latest version)
  • Numpy (+ mkl for Windows)
  • Matplotlib

Requirements II

  • Use interactive python notebook in Google Collaboratory or Kaggle.

Introduction

MNIST contains 70,000 images of handwritten digits: 60,000 for training and 10,000 for testing. The images are grayscale, 28x28 pixels, and centered to reduce preprocessing and get started quicker.