Convolutional neural networkDepthwise separable convolutionHardware acceleratorFPGAEdge computingIn recent years, convolutional neural networks (CNNs) have achieved state-of-the-art results for many computer vision tasks. However, the traditional CNNs are computational-intensive and memory-intensive, hence ...
FPGAVGG16Floating pointFixed pointConvolutional Neural Network (CNN) has been extensively used for image recognition due to its great accuracy. This accuracy is achieved through emulating the optic nerves behavior in living human beings. The speedy progress of the current applications derived from deep...
6. FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network [O] . Zhuofeng Mo, Dehan Luo, Tengteng Wen, 2021 机译:FPGA实现气味识别与深度可分离的卷积神经网络 7. fpgaConvNet: A framework for mapping convolutional neu...
日期&会议:Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays(FPGA) 文章主要做的事情: 在嵌入式FPGA平台上加速CNNs,为Image-Net大型图像分类开发了CNN加速器。 对CNN模型有一些深度分析,表明了卷积层是以计算为中心的,全连接是以存储为中心的。 开发了动态精度数据量化方...
Therefore, the implementation of CNN-based target detection algorithm accelerator using FPGA has become a hot research topic. For example, in 2016, Chen et al. designed a SIMD convolutional neural network acceleration system based on FPGA, which reduced the gap between the theoretical and actual ...
需求说明:深度学习FPGA实现知识储备 来自:http://blog.csdn.net/stdcoutzyx/article/details/41596663 说明:图文并茂,言简意赅。 自今年七月份以来,一直在实验室负责卷积神经网络(Convolutional Neural Network,CNN),期间配置和使用过theano和cuda-convnet、cuda-convnet2。为了增进CNN的理解和使用,特写此博文,以其与...
Especially, various accelerators for deep CNN have been proposed based on FPGA platform because it has advantages of high performance, reconfigurability, and fast development round, etc. Although current FPGA accelerators have demonstrated better performance over generic pr...
In this work, Convolutional Neural Network (CNN) is applied for defect identification of Swiven Cap (one type of medical component) based on Field-Programmable Gate Array (FPGA) implementation. Caffe is used as the platform to develop the CNN model. Afte
At the same time, the Convolution Neural Network (CNN) is, in general, is the change of the multi-layered perception to be used in computer vision. CNN also, the general user-profiles and description of the project, will be used in the recommended model. In this work, CNN has been ...
bnn-fpga is an open-source implementation of a binarized neural network (BNN) accelerator for CIFAR-10 on FPGA. The architecture and training of the BNN is proposed byCourbarieaux et al.and open-source Python code is available athttps://github.com/MatthieuCourbariaux/BinaryNet. ...