May 2018
Beginner
490 pages
13h 16m
English
Content preview from Artificial Intelligence By Example
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Compiling the model
Compiling a Keras model requires a minimum of two options: a loss function and an optimizer. You evaluate how much you are losing and then optimize your parameters, just as in real life. A metric option has been added to measure the performance of the model. With a metric, you can analyze your losses and optimize your situation, as shown in the following code:
classifier.compile(optimizer = 'adam', loss = 'binary_crossentropy', metrics = ['accuracy'])
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