A fast learning algorithm for deep belief nets
2. The learning algorithm is unsupervised but can be ap-plied to labeled data by learning a model that generates both the label and the data. 3. There is a fine-tuning algorithm that learns an excel-lent generative model which outperforms discrimina-tive methods on the MNIST database of hand-written digits. 4.
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