convolution_network_on_FPGA-master
代码说明:
在FPGA平台上运行的CNN模型,可以完成相关的功能(The CNN model that runs on the FPGA platform can complete the related functions)
文件列表:
convolution_network_on_FPGA-master, 0 , 2018-01-18
convolution_network_on_FPGA-master\README.md, 1628 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms, 0 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\CNN_top.v, 60526 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\clk_div.v, 967 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\conv_adder18.v, 4001 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\conv_adder36.v, 5604 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\k2_out.v, 2681 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\k3_out.v, 4141 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_1.v, 8942 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_10.v, 9024 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_11.v, 8966 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_12.v, 8926 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_13.v, 9024 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_14.v, 8874 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_15.v, 8982 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_16.v, 9024 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_17.v, 8918 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_18.v, 8958 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_2.v, 8908 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_3.v, 8954 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_4.v, 8912 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_5.v, 8924 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_6.v, 8884 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_7.v, 8965 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_8.v, 8833 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_1_9.v, 8902 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_3.v, 2380 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_conv_5.v, 2416 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_fc.v, 3625 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_layer_input_0.v, 1124 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_layer_input_1.v, 4049 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_layer_input_2.v, 4526 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_layer_input_3.v, 4174 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_layer_input_4.v, 2763 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_layer_input_5.v, 1863 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_max_relu_2.v, 1605 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\m_max_relu_4.v, 1603 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\max_output.v, 1209 , 2018-01-18
convolution_network_on_FPGA-master\v7-415t_0.5ms\tb.v, 1003 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms, 0 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\CNN_top.v, 25158 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\clk_div.v, 967 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\conv_adder18.v, 4001 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\conv_adder36.v, 5604 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\k2_out.v, 2681 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\k3_out.v, 4141 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_1.v, 8942 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_10.v, 9024 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_11.v, 8966 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_12.v, 8926 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_13.v, 9024 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_14.v, 8874 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_15.v, 8982 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_16.v, 9024 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_17.v, 8918 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_18.v, 8958 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_2.v, 8908 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_3.v, 8954 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_4.v, 8912 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_5.v, 8924 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_6.v, 8884 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_7.v, 8965 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_8.v, 8833 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_1_9.v, 8902 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_3.v, 2380 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_conv_5.v, 2416 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_fc.v, 3625 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_layer_input_0.v, 1124 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_layer_input_1.v, 4049 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_layer_input_2.v, 4526 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_layer_input_3.v, 4174 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_layer_input_4.v, 2763 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_layer_input_5.v, 1863 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_max_relu_2.v, 1605 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\m_max_relu_4.v, 1603 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\max_output.v, 1209 , 2018-01-18
convolution_network_on_FPGA-master\v7-485t_0.3ms\tb.v, 1003 , 2018-01-18
下载说明:请别用迅雷下载,失败请重下,重下不扣分!