https://github.com/vishal-sys-code/handwritten_recognition_from_mnist_dataset

Handwritten Digit Recognition by MNIST
https://github.com/vishal-sys-code/handwritten_recognition_from_mnist_dataset

handwritten-digit-classification handwritten-digit-recognition keras keras-tensorflow machine-learning matplotlib matplotlib-pyplot mnist mnist-classification mnist-classifier mnist-dataset mnist-handwriting-recognition python-3

Last synced: 7 days ago
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Handwritten Digit Recognition by MNIST

• Host: GitHub
• URL: https://github.com/vishal-sys-code/handwritten_recognition_from_mnist_dataset
• Owner: Vishal-sys-code
• License: mit
• Created: 2022-09-13T13:51:54.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-09-18T06:43:02.000Z (over 2 years ago)
• Last Synced: 2024-11-07T13:27:42.527Z (about 2 months ago)
• Topics: handwritten-digit-classification, handwritten-digit-recognition, keras, keras-tensorflow, machine-learning, matplotlib, matplotlib-pyplot, mnist, mnist-classification, mnist-classifier, mnist-dataset, mnist-handwriting-recognition, python-3
• Language: Python
• Homepage:
• Size: 1.17 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# **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.