卷积神经网络经典代码代码

[{"title":"（ 31 个子文件 14.03MB ） 卷积神经网络经典代码代码","children":[{"title":"cnn","children":[{"title":"randp.m <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false},{"title":"mnist_uint8.mat <span style='color:#111;'> 14.05MB </span>","children":null,"spread":false},{"title":"myOctaveVersion.m <span style='color:#111;'> 169B </span>","children":null,"spread":false},{"title":"whiten.m <span style='color:#111;'> 183B </span>","children":null,"spread":false},{"title":"cnnsetup.m <span style='color:#111;'> 1.97KB </span>","children":null,"spread":false},{"title":"tanh_opt.m <span style='color:#111;'> 54B </span>","children":null,"spread":false},{"title":"visualize.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"flipall.m <span style='color:#111;'> 80B </span>","children":null,"spread":false},{"title":"normalize.m <span style='color:#111;'> 97B </span>","children":null,"spread":false},{"title":"cnnapplygrads.m <span style='color:#111;'> 575B </span>","children":null,"spread":false},{"title":"cnntest.m <span style='color:#111;'> 193B </span>","children":null,"spread":false},{"title":"cnnbp.m <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"cnntrain.m <span style='color:#111;'> 845B </span>","children":null,"spread":false},{"title":"sigm.m <span style='color:#111;'> 48B </span>","children":null,"spread":false},{"title":"isOctave.m <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"sigmrnd.m <span style='color:#111;'> 126B </span>","children":null,"spread":false},{"title":"softmax.m <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"flipudf.m <span style='color:#111;'> 576B </span>","children":null,"spread":false},{"title":"im2patches.m <span style='color:#111;'> 313B </span>","children":null,"spread":false},{"title":"zscore.m <span style='color:#111;'> 137B </span>","children":null,"spread":false},{"title":"rnd.m <span style='color:#111;'> 49B </span>","children":null,"spread":false},{"title":"test_example_CNN.m <span style='color:#111;'> 981B </span>","children":null,"spread":false},{"title":"cnnff.m <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"cnnnumgradcheck.m <span style='color:#111;'> 3.35KB </span>","children":null,"spread":false},{"title":"fliplrf.m <span style='color:#111;'> 543B </span>","children":null,"spread":false},{"title":"allcomb.m <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"flicker.m <span style='color:#111;'> 208B </span>","children":null,"spread":false},{"title":"randcorr.m <span style='color:#111;'> 283B </span>","children":null,"spread":false},{"title":"patches2im.m <span style='color:#111;'> 242B </span>","children":null,"spread":false},{"title":"expand.m <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"makeLMfilters.m <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]