https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN https://github.com/Di5h3z/ECE-564-Convolutional-Neural-Network-Accelerator 具有详细设计的两层 CNN 详细的设计文档: https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN/blob/master/report/Apar%20Bansal%20ECE564%20Pro...
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FPGA implementation of Cellular Neural Network (CNN) Initialization CNN CNN.v is Top-level design with initialization for A, B, I template SixteenbySixteen.java generates Verilog code for 16x16 layer module sixteenbysixteen.v Default CornerDetection Other available templates in here Instruction Chang...
Zynq/FPGA实现CNN手写数字(0-9)识别. Contribute to CLi321/zynq-fpga-cnn-digital-recognition development by creating an account on GitHub.
使用Verilog实现的CNN模块,可以方便的在FPGA项目中使用. Contribute to QShen3/CNN-FPGA development by creating an account on GitHub.
如何才能将Faster R-CNN训练起来? 首先进入 Faster RCNN 的官网啦,即:https://github.com/rbgirshick/py-faster-rcnn#installation-sufficient-for-the-demo 先用提供的 model 自己测试一下效果嘛。。。 按照官网安装教程,安装基本需求。 Install 什么是CNN训练 ...
Husain-Malwat/CNN_FPGAmain 1 Branch 0 Tags Code Folders and filesLatest commit Cannot retrieve latest commit at this time. History26 Commits UART minor11 Nov 15, 2022 het minor14 Nov 18, 2022 week01 minor11 Nov 15, 2022 week_02 minor13 Nov 16, 2022...
别的参考资料就没了，目前这块做的人不多，github上基本没有可以参考的代码，只能自己一点一点填坑了 ...
地址:https://github.com/nachiket/papaa-opencl 以下图片源自Yufei Ma的Slide。 可以看到cnn算法主要由conv ,pooling,norm等几个部分组成。工作时将image跟weight灌进去,最终得到预测结果。 接下来拿profiler(比如perf)去分析下软件算法,找找热点和性能瓶颈。在cnn里面主要耗时的就是conv二维卷积了。性能瓶颈也主要在...
input clk_in , input rst_n , //feature map input & bias & weight input signed [bits-1:0] data_in , input signed [(bits<<1)-1:0] bias , input signed [bits-1:0] weight , //enable conv input start , //deature map output output reg signed [(bits<<1)+filter_size_2:0...