基于quartusii的CNN卷积神经网络的verilog开发含report

[{"title":"（ 30 个子文件 6.42MB ） 基于quartusii的CNN卷积神经网络的verilog开发含report","children":[{"title":"General Algorithm for CNN Template Learning.pdf <span style='color:#111;'> 953.73KB </span>","children":null,"spread":false},{"title":"Template_library_v3.1.pdf <span style='color:#111;'> 6.45MB </span>","children":null,"spread":false},{"title":"Quartus","children":[{"title":"eq2.v <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false},{"title":"Eq1 Initial","children":[{"title":"convolution.v <span style='color:#111;'> 2.43KB </span>","children":null,"spread":false},{"title":"equation1.v <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"one_by_one.v <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"four_by_four.v <span style='color:#111;'> 15.22KB </span>","children":null,"spread":false},{"title":"multiplier_unit.v <span style='color:#111;'> 198B </span>","children":null,"spread":false},{"title":"adder_unit.v <span style='color:#111;'> 654B </span>","children":null,"spread":false},{"title":"equation2.v <span style='color:#111;'> 730B </span>","children":null,"spread":false}],"spread":true},{"title":"SixteenbySixteenGeneratorGenerator.java <span style='color:#111;'> 17.69KB </span>","children":null,"spread":false},{"title":"onebyone.v <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"U_inAssign.txt <span style='color:#111;'> 6.67KB </span>","children":null,"spread":false},{"title":"eq1oneunit.v <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"multiplier.v <span style='color:#111;'> 210B </span>","children":null,"spread":false},{"title":"fourbyfour18mul.v <span style='color:#111;'> 14.10KB </span>","children":null,"spread":false},{"title":"SixteenbySixteenGenerator18mulOutput.txt <span style='color:#111;'> 178.38KB </span>","children":null,"spread":false},{"title":"SixteenbySixteenGeneratorOutput.txt <span style='color:#111;'> 187.55KB </span>","children":null,"spread":false},{"title":"sixteenbysixteen18mul.v <span style='color:#111;'> 178.39KB </span>","children":null,"spread":false},{"title":"CNN.qpf <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false},{"title":"AssignGenerator.java <span style='color:#111;'> 698B </span>","children":null,"spread":false},{"title":"CNN.v <span style='color:#111;'> 33.58KB </span>","children":null,"spread":false},{"title":"ConstantGenerator.java <span style='color:#111;'> 649B </span>","children":null,"spread":false},{"title":"SixteenbySixteen18mulGenerator.java <span style='color:#111;'> 16.92KB </span>","children":null,"spread":false},{"title":"eq1.v <span style='color:#111;'> 1.38KB </span>","children":null,"spread":false},{"title":"adder.v <span style='color:#111;'> 207B </span>","children":null,"spread":false},{"title":"sixteenbysixteen.v <span style='color:#111;'> 187.55KB </span>","children":null,"spread":false},{"title":"fourbyfour.v <span style='color:#111;'> 14.78KB </span>","children":null,"spread":false},{"title":"onebyone18mul.v <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false},{"title":"CNNfourbyfour.v <span style='color:#111;'> 3.30KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]