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import numpy as np
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import time
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import matplotlib.pyplot as plt
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from keras.datasets import mnist
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from keras.models import Sequential
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from keras.layers.core import Dense, Flatten, Dropout, Activation
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from keras.utils import np_utils
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import matplotlib.pyplot as plt
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(X_train, y_train), (X_test, y_test) = mnist.load_data()
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num_pixels = X_train.shape[1] * X_train.shape[2]
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