[HTML][HTML] Embedded intelligence on FPGA: Survey, applications and challenges
KP Seng, PJ Lee, LM Ang - Electronics, 2021 - mdpi.com
Embedded intelligence (EI) is an emerging research field and has the objective to
incorporate machine learning algorithms and intelligent decision-making capabilities into …
incorporate machine learning algorithms and intelligent decision-making capabilities into …
[HTML][HTML] An efficient fpga-based convolutional neural network for classification: Ad-mobilenet
S Bouguezzi, HB Fredj, T Belabed, C Valderrama… - Electronics, 2021 - mdpi.com
Convolutional Neural Networks (CNN) continue to dominate research in the area of
hardware acceleration using Field Programmable Gate Arrays (FPGA), proving its …
hardware acceleration using Field Programmable Gate Arrays (FPGA), proving its …
SNAPE-FP: SqueezeNet CNN with Accelerated Pooling Layers Extension based on IEEE-754 Floating Point Implementation through SW/HW Partitioning On ZYNQ …
AM Abotaleb, MH Ahmed… - 2021 3rd Novel Intelligent …, 2021 - ieeexplore.ieee.org
It is clearly known that deep learning applications are enormously used in the image
classification, object tracking and related image analysis techniques. But deep learning …
classification, object tracking and related image analysis techniques. But deep learning …
Slit: An energy-efficient reconfigurable hardware architecture for deep convolutional neural networks
TD Tran, Y Nakashima - IEICE Transactions on Electronics, 2021 - search.ieice.org
Convolutional neural networks (CNNs) have dominated a range of applications, from
advanced manufacturing to autonomous cars. For energy cost-efficiency, developing low …
advanced manufacturing to autonomous cars. For energy cost-efficiency, developing low …
[PDF][PDF] An Efficient FPGA-Based Convolutional Neural Network for Classification: Ad-MobileNet. Electronics 2021 10 2272
S Bouguezzi, HB Fredj, T Belabed, C Valderrama… - 2021 - academia.edu
Convolutional Neural Networks (CNN) continue to dominate research in the area of
hardware acceleration using Field Programmable Gate Arrays (FPGA), proving its …
hardware acceleration using Field Programmable Gate Arrays (FPGA), proving its …
WORDA: A Winograd Offline-Runtime Decomposition Algorithm for Faster CNN Inference
Convolutional Neural Networks (CNNs) have demonstrated impressive performance in
recent times and have shown a wide range of applicability. The deployment of CNNs on …
recent times and have shown a wide range of applicability. The deployment of CNNs on …
[PDF][PDF] Embedded Intelligence on FPGA: Survey, Applications and Challenges. Electronics 2021, 10, 895
KP Seng, PJ Lee, LM Ang - 2021 - research.usc.edu.au
Embedded intelligence (EI) is an emerging research field and has the objective to
incorporate machine learning algorithms and intelligent decision-making capabilities into …
incorporate machine learning algorithms and intelligent decision-making capabilities into …
Hardware Aware Optimization of Custom CNN Implementations and Benchmarking of CNN Algorithms on FPGA
J Nelson - 2021 - search.proquest.com
Abstract Convolutional Neural Networks (CNNs) have become a widely popular method for
performing common computer vision tasks, such as image classification and object …
performing common computer vision tasks, such as image classification and object …