https://github.com/lokranjanp/mnist-classifier

Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.
https://github.com/lokranjanp/mnist-classifier

mnist mnist-classification mnist-classifier numpy pandas tensorflow

Last synced: about 8 hours ago
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Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.

• Host: GitHub
• URL: https://github.com/lokranjanp/mnist-classifier
• Owner: lokranjanp
• Created: 2024-03-27T11:29:25.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-08-31T05:42:24.000Z (4 months ago)
• Last Synced: 2024-11-09T18:29:54.099Z (about 2 months ago)
• Topics: mnist, mnist-classification, mnist-classifier, numpy, pandas, tensorflow
• Language: Python
• Homepage:
• Size: 36.2 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
Contains 2 approaches to solving the MNIST Hand Written Digit Classifier.

Main file : Tensorflow Keras API approach.

basic.py : Neural Network from scratch. 

Architecture remains same. 

Input : 28 * 28 pixel Grayscale Image.

Input layer of Neural Network : 784 Neurons (ReLu activation function)

Output : 10 neurons (Softmax Function)

Requirements :

    1) Tensorflow, Keras

    2) Numpy

    3) Pandas