Exploring low complexity embedded architectures for deep neural networks

Deep neural networks have shown significant improvements in computer vision applications over the last few years. Performance improvements have been brought about mostly by using pre-trained models like Inception-v4, ResNet-152, and VGG 19. However, these improvements have been accompanied by an inc...

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Bibliographic Details
Main Author: Chatterjee, Soham
Other Authors: Arindam Basu
Format: Thesis-Master by Research
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150553
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Institution: Nanyang Technological University
Language: English
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