Valeria Sorrenti
Image Classification in the Browser: a performance assessment.
Rel. Andrea Calimera, Valentino Peluso. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023
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Abstract
During the last decades, a lot of step forward are made in Artificial Intelligence field. Until recently, the Cloud Computing paradigm has allowed for increasingly complex and large models, but recently a paradigm shift has occurred and Edge Computing has taken over having an eye on issues such as privacy and portability. In the last years, JavaScript libraries have emerged, allowing to Deep learning to be brought in the browser. These libraries provide several benefits, in particular ensure the portability. WebAssembly is a low-level binary format that is designed to be executed by web browsers. It provides a way to run code in the browser that is closer to native machine code than JavaScript.
This means that Deep Learning models built using JavaScript libraries can be deployed with WebAssembly, on a wide range of devices and platforms, making it easier to integrate Deep Learning into web applications
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