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from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization
#AlexNet with batch normalization in Keras
#input image is 224x224
model = Sequential()
model.add(Convolution2D(64, 3, 11, 11, border_mode='full'))
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