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纯verilog实现CNN卷积网络,包括卷积层，池化层，全连接FC层,vivado2019.2开发，含testbench
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2022-05-02
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CNN卷积神经网络的纯verilog实现,包括卷积层，池化层，全连接FC层,在vivado2019.2中开发，包含testbench.rar （45个子文件） 
lenet_verilog 
poolingfilter.v 838B iseconfig testbench.xreport 20KB ConvLayer.xreport 20KB neuron.xreport 20KB poolinglayer.xreport 20KB Lenet.projectmgr 43KB ipcore_dir coregen.log 93B cnn.v 73KB testbench.v 58KB project_1 project_1.sim project_1.ip_user_files 
README.txt 130B project_1.hw project_1.lpr 290B project_1.xpr 10KB project_1.runs synth_1 cnn.dcp 39.96MB cnn.tcl 2KB ISEWrap.js 8KB .vivado.end.rst 0B runme.sh 1KB cnn_utilization_synth.pb 291B vivado.pb 1.94MB runme.bat 229B cnn_utilization_synth.rpt 7KB ISEWrap.sh 2KB vivado.jou 725B htr.txt 383B .vivado.begin.rst 223B project.wdf 4KB cnn.vds 829KB .Vivado_Synthesis.queue.rst 0B runme.log 853KB rundef.js 1KB .Xil gen_run.xml 3KB __synthesis_is_complete__ 0B .jobs vrs_config_1.xml 394B project_1.cache wt webtalk_pa.xml 2KB project.wpc 61B gui_handlers.wdf 1KB java_command_handlers.wdf 490B synthesis.wdf 5KB synthesis_details.wdf 100B Lenet.xise 39KB neuron.v 13KB poolinglayer.v 79KB FullyConnected.v 37KB ConvLayer.v 204KB fpga&matlab.txt 17B
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