LEADER 01317nam a22003253i 4500001    99131743495006421
005    20260125110055.0
006    m     o  d |
007    cr |||||||||||
008    251124s2027    xx      o     ||||0 eng d
020    1-394-35636-6
020    1-394-35635-8
035    (CKB)43400953700041
035    (MiAaPQ)EBC32424817
035    (Au-PeEL)EBL32424817
035    (CaSebORM)9781394356331
035    (EXLCZ)9943400953700041
040    MiAaPQ |beng |erda |epn |cMiAaPQ |dMiAaPQ
100 1  Alagarsamy, Malini.
245 10 Graph Convolutional Neural Networks for Computer Vision.
250    1st ed.
264  1 Newark : |bJohn Wiley & Sons, Incorporated, |c2027.
264  4  |c©2026.
300    1 online resource (307 pages)
336    text |btxt |2rdacontent
337    computer |bc |2rdamedia
338    online resource |bcr |2rdacarrier
520    Revolutionize your machine learning practice with this essential book that provides expert insights into leveraging Graph Convolutional Networks (GCNNs) to overcome the limitations of traditional CNNs.In the last decade, computer vision has become a major focus for addressing the world's growing processing needs.
588    Description based on publisher supplied metadata and other sources.
776 08  |z1-394-35633-1
906    BOOK