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Stacking RBMs and Training on All the Data. Adding a second hidden layer reduced the test RMSE substantially, so I added a third hidden layer in exactly the same way, again using 500 hidden units. These results, by far my best yet, indicate that layer-wise unsupervised pre-training was very effective, even though I did not spend much time fine-tuning the hyper-parameters.