Exploring low complexity embedded architectures for deep neural networks

• Main Author: Chatterjee, Soham
• Other Authors: Arindam Basu
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: https://hdl.handle.net/10356/150553
• Institution: Nanyang Technological University

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...