sample = X_clean[-1]

print 'Before norm', sample

sample = np.array([sample])
sample = (np.array(sample) - np.mean(sample)) / np.std(sample)

print 'After norm', sample

sample = np.reshape(sample, (sample.shape[0], sample.shape[1], 1))

print autoencoder.predict(sample)