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Stacked Sparse Autoencoder
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stacked_ae_exercise.py

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test_images = load_MNIST.load_MNIST_images('data/mnist/t10k-images.idx3-ubyte')
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test_labels = load_MNIST.load_MNIST_labels('data/mnist/t10k-labels.idx1-ubyte')
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# Single auto encoder without fine tuning
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# Two auto encoders without fine tuning
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pred = stacked_autoencoder.stacked_autoencoder_predict(stacked_autoencoder_theta, input_size, hidden_size_L2,

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