Modular layer design, full backprop implementation, various update rules, drop-out regularization, batch normalization, convolution and max pool sampling
Implementation of convolutional/fully connected neural network. The network layers include dropout layer, batch normalization layer, fully connected layer, rectified linear unit, convolutional layer, and max pooling layer. Various update rules including sgd with momentum, rmsprop, and adam are compared with the performance of vanila stochastic gradient descent.
My solution to Stanford Convolutional Neural Networks for Visual Recognition class project
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
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Microsoft
Open source projects and samples from Microsoft.
Google
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Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
