Now let's compile the model.
We will compile the model we created using Sparse Categorical Crossentropy to measure loss, and with Adam optimizer having 0.001 as the learning rate
model.compile(optimizer=keras.optimizers.Adam(lr=<< your code goes here >>), loss=<< your code goes here >>, metrics=["accuracy"])
Note - Having trouble with the assessment engine? Follow the steps listed here
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