Beginning Anomaly Detection Using


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Beginning Anomaly Detection Using Python-Based Deep Learning

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Figure 3-14.  Importing the modules needed to create the model

Chapter 3   IntroduCtIon to deep LearnIng



86

Now define some variables that you will use later (Figure 

3-15

).

One pass of the entire data set through the model is called an 



epoch. The batch 

size is how many data entries pass through the model in one iteration. In this case, the 

training data passes through the model 128 entries at a time until all of the entries have 

passed through, marking the end of one epoch. The number of classes is 10 to represent 

each of the 10 digits from 0-9. These variables are also known as 




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