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I've tried to follow the example provided at mathworks for training a deep sparse autoencoder (4 layers), so i pre-trained the autoencoders separately and then stacked then into a deep network. When i try to finetune this network though, via the train(deepnet, InputDataset) instruction, the training stops instantly and i receive a "performance goals met" message. Is there a way to train and finetune a deep autoencoder network in an unsupervised manner in Matlab (no labels provided)?

L.Thanos
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Have you set the "MSE" goal? Secondly, for fine tuning of network use a conventional back-propagation algorithm in supervised fashion.

Nathan Tuggy
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Case Msee
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  • Stack Overflow is not a site to share contact info or send private messages. Either share answers with everyone, or don't post. – Nathan Tuggy Apr 21 '17 at 02:33
  • I still don't know the answer, so nothing to share really. I ended up using different approaches (manual networks and layers). – L.Thanos May 22 '17 at 10:31