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Offloading intensive tensor computations to the GPU for real-time browser performance.
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This project provides a deep learning architecture designed to identify and isolate distinct objects within images by generating precise pixel-level masks. It functions as a browser-based inference engine, enabling the execution of complex machine learning models directly within web environments without requiring serve
Accelerates intensive tensor operations by offloading heavy computational tasks to the GPU for fluid performance in web applications.