https://github.com/charlescatta/handwritten-digits-classifier

A handwritten digit classifier which uses LeNet's convolutional neural network architecture
https://github.com/charlescatta/handwritten-digits-classifier

Last synced: 2 days ago
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A handwritten digit classifier which uses LeNet's convolutional neural network architecture

• Host: GitHub
• URL: https://github.com/charlescatta/handwritten-digits-classifier
• Owner: charlescatta
• Created: 2017-06-25T21:49:17.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-06-25T21:55:08.000Z (over 7 years ago)
• Last Synced: 2023-12-21T18:35:42.574Z (11 months ago)
• Language: Jupyter Notebook
• Size: 118 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Handwritten digit classifier

This is part of Udacity's self-driving car nanodegree

[![Udacity - Self-Driving Car NanoDegree](https://s3.amazonaws.com/udacity-sdc/github/shield-carnd.svg)](http://www.udacity.com/drive)

![LeNet-5 Architecture](lenet.png)

Implement the LeNet-5 deep neural network model to classify handwritten digits, uses the MNIST dataset which is available through tensorflow