Giter Club home page Giter Club logo

lenet5-mnist-pytorch's Introduction

LeNet5-MNIST-PyTorch

This is the simplest implementation of the paper "Gradient-based learning applied to document recognition" in PyTorch.

Have a try with artificial intelligence!

Feel free to ask anything!

Requirments

Python3
PyTorch >= 0.4.0
torchvision >= 0.1.8

Usage

$git clone https://github.com/ChawDoe/LeNet-5-MNIST-PyTorch.git  
$cd LeNet-5-MNIST-PyTorch  
$python3 train.py

Hint

This repo includes the mnist dataset.

Accuracy

Average precision on test set: 99%

lenet5-mnist-pytorch's People

Contributors

chawdoe avatar musoucrow avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.