anuraganands / gsgd Goto Github PK
View Code? Open in Web Editor NEWGuided Stochastic Gradient Descent Algorithm (GSGD)
Guided Stochastic Gradient Descent Algorithm (GSGD)
Guided Stochastic Gradient Descent (GSGD) Copyright (c) 2018, Anuraganand Sharma - All rights reserved. This Matlab code is the implementation of GSGD proposed by Anuraganand Sharma in the paper: A. Sharma, “Guided Stochastic Gradient Descent Algorithm for inconsistent datasets,” Applied Soft Computing, vol. 73, pp. 1068–1080, Dec. 2018 How to run: 1 - The main program is written in GSGD.m. Run this program. 2 - It asks for data files. By default "data" folder is in the same directory as GSGD.m 3 - The results are stored in "Result" folder. 4 - For further analysis run Result\analyseData.m and Result\colorMapTry.m
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.