Unsupervised Pretraining Encourages Moderate-Sparseness

20 Dec 2013Jun LiWei LuoJian YangXiaotong Yuan

It is well known that direct training of deep neural networks will generally lead to poor results. A major progress in recent years is the invention of various pretraining methods to initialize network parameters and it was shown that such methods lead to good prediction performance... (read more)

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