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Awesome GitHub RepositoriesBrowser-Based Implementations
Tensor computation engines specifically implemented to run within web browser environments using JavaScript.
Distinct from Tensor Computation Graphs: Focuses on the browser-native runtime implementation of tensor graphs rather than the mathematical graph structure itself.
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Awesome Browser-Based Implementations GitHub Repositories
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- karpathy/convnetjs
karpathy/convnetjs
11,171Auf GitHub ansehenConvNetJS is a JavaScript deep learning library and neural network training engine designed for client-side machine learning. It functions as a framework for building, training, and running convolutional neural networks directly within a web browser without the need for a backend server. The library specializes in image recognition and pattern analysis using convolutional and pooling layers. It enables the creation of models for classification and regression tasks, as well as the development of reinforcement learning agents that optimize behavior through trial and error in simulated environme
Performs neural network mathematical operations using JavaScript arrays executed directly within the web browser.
JavaScript
