model3=models.Sequential()
model3.add(Conv2D(32,
(3,3),padding='same',kernel_regularizer=reg,input_shape=X_train.shape[1:]))
model3.add(BatchNormalization(axis=-1))
model3.add(Activation(activation='relu'))
model3.add(Dropout(0.2))
model3.add(Conv2D(32,(3,3),padding='same',kernel_regularizer=reg))
model3.add(BatchNormalization(axis=-1))
model3.add(Activation(activation='relu'))
model3.add(Dropout(0.2))

conv2d_1 (Conv2D)            (None, 32, 32, 32)        896
_________________________________________________________________
batch_normalization_1 (Batch (None, 32, 32, 32)        128
________________________________________________________________