Beginning Anomaly Detection Using

Figure 4-10.  Compiling the model

Figure 4-11.  Training the model

As you see, the training process outputs the loss and accuracy, as well as the 

validation loss and validation accuracy at each epoch. Figure 

4-12

 shows the output of 

the training step.

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Figure 4-12.  Showing the progress of the training phase

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Figure 

4-14

 shows the plotting of the accuracy during the training process through 

the epochs of training.

Figure 4-13.  Model graph shown in TensorBoard

Figure 

4-13

 is a graph of the model as shown by TensorBoard.

Figure 4-14.  Plotting of accuracy shown in TensorBoard

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Figure 

4-16

 shows the plotting of the loss during the training process through the 

epochs of training.

Figure 

4-15

 shows the plotting of the mae (mean absolute error) during the training 

process through the epochs of training.