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.
This exercise is part of the course
Image Modeling with Keras
Exercise instructions
Write code to compile the model with the 'adam' optimizer and 'categorical_crossentropy' as the loss function.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Compile the model
model.____(optimizer=____,
loss=____,
metrics=['accuracy'])