Beginning Anomaly Detection Using

Figure 7-33.  Code to print the shapes of the data sets to see how the operations 

changed the structure

Figure 7-34.  The x sets are three-dimensional while the y sets are two- dimensional

Chapter 7   temporal Convolutional networks

---

277

LQSXWBOD\HU ,QSXW VKDSH LQSXWBVKDSH

6HULHVRIWHPSRUDOFRQYROXWLRQDOOD\HUVZLWKGLODWLRQVLQFUHDVLQJE\

SRZHUVRI

FRQYB &RQY' ILOWHUV NHUQHOBVL]H GLODWLRQBUDWH 

SDGGLQJ FDXVDO VWULGHV LQSXWBVKDSH LQSXWBVKDSH

NHUQHOBUHJXODUL]HU UHJXODUL]HUVO  

DFWLYDWLRQ UHOX LQSXWBOD\HU

'URSRXWOD\HUDIWHUHDFK'FRQYROXWLRQDOOD\HU

GURSB 6SDWLDO'URSRXW'  FRQYB

FRQYB &RQY' ILOWHUV NHUQHOBVL]H GLODWLRQBUDWH 

SDGGLQJ FDXVDO VWULGHV 

NHUQHOBUHJXODUL]HU UHJXODUL]HUVO  

DFWLYDWLRQ UHOX GURSB

GURSB 6SDWLDO'URSRXW'  FRQYB

FRQYB &RQY' ILOWHUV NHUQHOBVL]H GLODWLRQBUDWH 

SDGGLQJ FDXVDO 

VWULGHV NHUQHOBUHJXODUL]HU UHJXODUL]HUVO  

DFWLYDWLRQ UHOX GURSB

GURSB 6SDWLDO'URSRXW'  FRQYB

FRQYB &RQY' ILOWHUV NHUQHOBVL]H GLODWLRQBUDWH 

SDGGLQJ FDXVDO 

VWULGHV NHUQHOBUHJXODUL]HU UHJXODUL]HUVO  

DFWLYDWLRQ UHOX GURSB

GURSB 6SDWLDO'URSRXW'  FRQYB