Compiling the model 

For the completion of the model, we need to choose a loss in the optimizer and the metrics that we're concerned with during fitting:

model.compile(loss ="categorical_crossentropy", optimizer= 'SGD', metrics = ['accuracy'])

print(model.summary())

Let's look at the output after compiling the model:

Fig 6.20: Compiling the model

In the next section, we will train the model.