e5 = Wo' * delta; % Hidden(ReLU) layer delta5 = (y5 > 0) .* e5; e4 = W5' * delta5; % Pooling layer e3 = reshape(e4, size(y3)); e2 = zeros(size(y2)); W3 = ones(size(y2)) / (2*2); for c = 1:20 e2(:, :, c) = kron(e3(:, :, c), ones([2 2]))...
Z_train_1,layers,options); Y= predict( net ,X_test_1); %% 测试结果反归一化 Y_sim=mapminmax('reverse',Y,Z_train_output'); %% 得到数据二维转三维 Y_3 = zeros(20,100,10); for i = 1:20 Y_sim_1 = Y_sim'; Y_3(i,:,:) = reshape(Y_sim_1(i,:),100,10); end Z_test_...
layer.Bias =zeros(1,1,size(layerParams.weights,4)); elseifisa(layer,"nnet.cnn.layer.BatchNormalizationLayer") trainedVars = params.(name); layer.TrainedMean =reshape(trainedVars.trainedMean,1,1,[]); layer.TrainedVariance =reshape(trainedVars.trainedVariance,1,1,[]); ...
layer.Name = name; % Set layer description. layer.Description ="Project and reshape layer with output size "+ join(string(outputSize)); % Set layer type. layer.Type ="Project and Reshape"; % Set output size. layer.OutputSize = outputSize; ...
temp = reshape(temp,[r1,c1]); test_imgs{i} = temp'; end fclose(fid1); fid2 = fopen(files{2}) ; m2 = fread(fid2,4); n2 = fread(fid2,4); m2 = Byte2Dec(m2); n2 = Byte2Dec(n2); test_labels = zeros(n2,1);
3. intermediate layer:作者代码中并没有这个输出256d特征的中间层,直接通过1×1的卷积获得2kscores和4kcordinates。作者在文中解释为用全卷积方式替代全连接。 4.2kscores:对于每个anchor,用了softmax layer的方式,会或得两个置信度。作者在文中说也可以用sigmoid方式获得一维是正例的置信度。
(T_train)';t_test = categorical(T_test )';%% 数据平铺% 将数据平铺成1维数据只是一种处理方式% 也可以平铺成2维数据,以及3维数据,需要修改对应模型结构% 但是应该始终和输入层数据结构保持一致p_train = double(reshape(P_train, 12, 1, 1, M));p_test = double(reshape(P_test , 12, 1, 1...
(1 - net.fv)); %% 如果最后一个隐藏层是卷积层，直接用该公式就能得到误差end% reshape featu...
lgraph = layerGraph(net); 该网络的图像输入大小为 224 x 224 像素。用图像输入层替换输入层,该层使用训练图像的均值和标准差对图像数据执行 z-score 归一化。 inLayer = imageInputLayer([inputSize 3],'Name','input','Normalization','zscore','Mean',meanImage,'StandardDeviation',stdImage); lgraph...
辅助函数styleLoss调用辅助函数calculateGramMatrix来计算特征映射的 Gram 矩阵。 function gramMatrix = calculateGramMatrix(featureMap) [H,W,C] = size(featureMap); reshapedFeatures = reshape(featureMap,H*W,C); gramMatrix = reshapedFeatures' * reshapedFeatures; end 参考文献 [1] Leon A. Gatys, A...