Approximate implementations of neural networks

This research explores the application of approximate computing in neural networks, focusing on both classical models and the innovative Truth Table Nets (TTnet). The study aims to evaluate how approximation techniques can optimize computational efficiency without compromising the accuracy, a cru...

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Bibliographic Details
Main Author: Sim, Wei Feng
Other Authors: Thomas Peyrin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181121
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Institution: Nanyang Technological University
Language: English

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