deep autoencoder by using (trainAutoencoder and stack) functions

1 次查看（过去 30 天）
ahmad karim
ahmad karim 2017-8-22
Dears, when i implements this below code i take the error thats in the attach? what is the resaon i think its because of the version of matlab or what? my version is 2015 [X,T] = wine_dataset;
hiddenSize = 10; autoenc1 = trainAutoencoder(X,hiddenSize,... 'L2WeightRegularization',0.001,... 'SparsityRegularization',4,... 'SparsityProportion',0.05,... 'DecoderTransferFunction','purelin');
features1 = encode(autoenc1,X);
hiddenSize = 10; autoenc2 = trainAutoencoder(features1,hiddenSize,... 'L2WeightRegularization',0.001,... 'SparsityRegularization',4,... 'SparsityProportion',0.05,... 'DecoderTransferFunction','purelin',... 'ScaleData',false);
features2 = encode(autoenc2,features1);
softnet = trainSoftmaxLayer(features2,T,'LossFunction','crossentropy');
deepnet = stack(autoenc1,autoenc2,softnet);
deepnet = train(deepnet,X,T);
wine_type = deepnet(X);
plotconfusion(T,wine_type);

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by