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This project uses CNN with tensorflow to recognize images.
image-classification for udacity
basic CNN classifies images from CIFAR-10 dataset: ~65% accuracy - Udacity DLND project
udacity project 2 image-classification
Image classification project using CNNs.
Includes image classification codes using images from various online datasets (i.e. CIFAR10)
Train your own Image Classifiers with your pictures!
Image classifier for any data set
Image colorization framework which facilitates the training and evaluation of various neural network architectures
K-Means algorithm is a centroid based clustering technique. This technique cluster the dataset into k different clusters. Each cluster in the k-means clustering algorithm is represented by its centroid point.
Image Compression Using K-means Clustering Algorithm
Image-Compression-Using-K-means
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.