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| - | === Step 0: Setup ===
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| - | You should build on your files from previous assignments.
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| - | === Step 1: Implement the Stacked Autoencoder ===
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| - | Using the method described in the previous section, train the stacked autoencoder layer by layer using greedy layer-wise training.
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| - | === Step 2: Train the data on the stacked autoencoder ===
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| - | Train the data found via blah tired on your stacked autoencoder. Training can take up to 20-30 minutes per layer, so you may wish to save your outputs to a separate file.
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| - | ==== Step 2a: Visualize the data ====
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| - | Blah later
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| - | === Step 3: Implement fine tuning ====
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| - | Sleepyyyy
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| - | === Step 4: Cross-validation ===
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| - | Test on MNIST data, print out percentage, should be around 97%.
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