Webnn

WebNN (WNN) is a JavaScript framework for distribution and training of Neural Networks (NN) through the internet. This is a large part of my research, working alongside Ron Cotton into distributed training of neural networks at WSU Vancouver. WNN consists of a NodeJS HTTP server that facilitates the asynchronous distributed training of user-defined NN. It builds on TensorFlow.js, which leverages the clients' GPU using WebGL (or CPU if WebGL unavailable) to run and train a NN in any web browser that supports WebGL 1.0 or better--which is 96% of browsers in the US and 93% of browsers globally
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Javascript
Neural Network
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