Beginning Anomaly Detection Using

epochs: An integer value dictating how many iterations for the entire 

x and y data to pass through the network.

• 

verbose: 0 makes it train without outputting anything, 1 shows a 

progress bar and the metrics, and 2 shows one line per epoch. Check 

the figures below for exactly what each value does:

Verbosity 1 (Figure 

A-6

)

Figure A-6.  The training function with verbosity 1

Figure A-5.  Code to train the model

Appendix A   intro to KerAs

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Verbosity 2 (Figure 

A-7

)

Figure A-7.  The training function with verbosity 2

• 

callbacks: A list of keras.callbacks.Callback instances. Remember 

the ModelCheckpoints instance defined earlier as “checkpointer”? 

This is where you include it. To see how it’s done, refer to one of the 

above figures that showcase the model.fit() function being called.

•