self.conv1 = tf.layers.Conv2D(32, (5, 5), activation='relu', padding='same', name='conv1') self.pool1 = tf.layers.MaxPooling2D((2, 2), (2, 2), padding='same') self.conv2 = tf.layers.Conv2D(64, (5, 5), activation='relu', padding='same', name='conv2') self.pool2 = tf.l
(self, nb_classes=10)
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