Optimizing FPGA-based accelerator design for deep convolutional neural networks
Convolutional neural network (CNN) has been widely employed for image recognition
because it can achieve high accuracy by emulating behavior of optic nerves in living …
because it can achieve high accuracy by emulating behavior of optic nerves in living …
[PDF][PDF] Optimizing FPGA-Based Accelerator Design for Deep Convolutional Neural Network
C Zhang, P Li, G Sun - 2017 - iceory.github.io
Optimizing FPGA-Based Accelerator Design for Deep Convolutional Neural Network Page 1
FPGA Chen Zhang,et al Motivation Background Method Exploration Implementation Experiment …
FPGA Chen Zhang,et al Motivation Background Method Exploration Implementation Experiment …
[引用][C] Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
C Zhang, P Li, G Sun, Y Guan, B Xiao… - Proceedings of the 2015 …, 2015 - cir.nii.ac.jp
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …
[PDF][PDF] Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
C Zhang, P Li, G Sun, Y Guan, B Xiao, J Cong - scholar.archive.org
Convolutional neural network (CNN) has been widely employed for image recognition
because it can achieve high accuracy by emulating behavior of optic nerves in living …
because it can achieve high accuracy by emulating behavior of optic nerves in living …