mnist's Introduction

TensorFlow CNN-Ensemble Learning with Big-MNIST

by Sungchi

과정 요약

infimnist로 mnist training을 변형해 110만 장을 만든다. (메모리 오류 안나는 수준)
tensorflow api로 불러온 데이터 중 training data와 validation data를 합친다.
랜덤으로 training set을 여러벌 만든다.
앙상블용 신경망을 50개 만들어 신경망당 20000번 씩 학습시킨다.
학습한 신경망 모델마다 test-set으로 예상값을 기록한다.
test-set 결과값을 앙상블해서 최종 정확도를 확인한다.

한 줄 요약: mnist training set을 110만 장 만들고 랜덤 training set으로 신경망 여러개 만들어 결과값을 모아 오차를 줄인다.

Recommend Projects

React

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

Vue.js

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

Typescript

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

TensorFlow

An Open Source Machine Learning Framework for Everyone

Django

The Web framework for perfectionists with deadlines.

Laravel

A PHP framework for web artisans

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.

Visualization

Some thing interesting about visualization, use data art

Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

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

Microsoft

Open source projects and samples from Microsoft.

Google

Google ❤️ Open Source for everyone.

Alibaba

Alibaba Open Source for everyone

D3

Data-Driven Documents codes.

Tencent

China tencent open source team.

sungchi / mnist Goto Github PK