How can i train Stacked Autoencoders with cross-validation?
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Hi to everyone
I m trying to implement a network with stacked autoencoders, same as the example with the wine
I want to perform cross validation but i have problem with the accelaration because the predict
function doesn't work on me.
In the end, i train the deep network on the wine data
deepnet = train(deepnet,X,T);
Any idea how can i perform cv in this example?
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