Compile a neural network
Once you have constructed a model in Keras, the model needs to be compiled before you can fit it to data. This means that you need to specify the optimizer that will be used to fit the model and the loss function that will be used in optimization. Optionally, you can also specify a list of metrics that the model will keep track of. For example, if you want to know the classification accuracy, you will provide the list ['accuracy'] to the metrics keyword argument.
Questo esercizio fa parte del corso
Image Modeling with Keras
Istruzioni dell'esercizio
Write code to compile the model with the 'adam' optimizer and 'categorical_crossentropy' as the loss function.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Compile the model
model.____(optimizer=____,
loss=____,
metrics=['accuracy'])