Sure.  Here’s the first part of the Keras model.
x = keras.layers.Input(x_train.shape[1:])
conv1 = keras.layers.Conv2D(128, 8, 1, border_mode='same')(x)
conv1 = keras.layers.normalization.BatchNormalization()(conv1)
conv1 = keras.layers.Activation('relu')(conv1)