基于FPGA的HLS CNN加速器

[{"title":"（ 19 个子文件 76.05MB ） 基于FPGA的HLS CNN加速器","children":[{"title":"卷积神经网络加速器","children":[{"title":"sdk","children":[{"title":"main.c <span style='color:#111;'> 10.42KB </span>","children":null,"spread":false}],"spread":true},{"title":"hls","children":[{"title":"test.cpp <span style='color:#111;'> 2.80KB </span>","children":null,"spread":false},{"title":"conv.cpp <span style='color:#111;'> 9.71KB </span>","children":null,"spread":false},{"title":"conv.h <span style='color:#111;'> 394B </span>","children":null,"spread":false}],"spread":true},{"title":"train","children":[{"title":"conv1.weight.bin <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"mnist.npz <span style='color:#111;'> 10.96MB </span>","children":null,"spread":false},{"title":"conv2.weight.bin <span style='color:#111;'> 400.00KB </span>","children":null,"spread":false},{"title":"fc1.bias.bin <span style='color:#111;'> 40B </span>","children":null,"spread":false},{"title":"test_images.bin <span style='color:#111;'> 29.91MB </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"conv4.weight.bin <span style='color:#111;'> 400.00KB </span>","children":null,"spread":false},{"title":"conv1.bias.bin <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"conv2.bias.bin <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"conv3.weight.bin <span style='color:#111;'> 400.00KB </span>","children":null,"spread":false},{"title":"conv4.bias.bin <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"fc1.weight.bin <span style='color:#111;'> 122.50KB </span>","children":null,"spread":false},{"title":"test_labels.bin <span style='color:#111;'> 39.06KB </span>","children":null,"spread":false},{"title":"conv3.bias.bin <span style='color:#111;'> 256B </span>","children":null,"spread":false}],"spread":false},{"title":"演示视频.mp4 <span style='color:#111;'> 81.57MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]