Towards efficient and reliable neural networks

Towards efficient and reliable neural networks

<p>Deep neural networks have achieved remarkable results in various applications, but when deployed to autonomous agents in the real world several challenges arise. Computational resources are limited and navigating through the real world requires low latency. Moreover, for many safety-critica...

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Bibliographic Details
Main Author:	de Jorge Aranda, P
Other Authors:	Torr, P
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Deep learning (Machine learning) Reliability

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