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020 _a9783031392443
_9978-3-031-39244-3
024 7 _a10.1007/978-3-031-39244-3
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
100 1 _aSingaram, Jayakumar.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966915
245 1 0 _aDeep Learning Networks
_h[electronic resource] :
_bDesign, Development and Deployment /
_cby Jayakumar Singaram, S. S. Iyengar, Azad M. Madni.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXIII, 161 p. 71 illus., 70 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Deep Learning -- Brief survey on Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) -- Tool Set for Deep Learning Applications -- Data-Set Design and Data Labeling -- DL Model: Design and Development -- Training and Testing of DL Model -- Deploying DL in Jetson Nano -- Deploying DL in Android Phone -- Deploying DL in Ultra96-V2 Field Programmable Gate Array (FPGA) -- Conclusion.
520 _aThis textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. The unique features of this book are: Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks; Practical tools that facilitate understanding of underlying technology; Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications.
650 0 _aTelecommunication.
650 0 _aMachine learning.
_955059
650 0 _aComputational intelligence.
_964052
650 0 _aPattern recognition systems.
_965547
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aMachine Learning.
_955059
650 2 4 _aComputational Intelligence.
_964052
650 2 4 _aAutomated Pattern Recognition.
_965551
700 1 _aIyengar, S. S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966916
700 1 _aMadni, Azad M.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966917
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031392436
776 0 8 _iPrinted edition:
_z9783031392450
776 0 8 _iPrinted edition:
_z9783031392467
856 4 0 _uhttps://doi.org/10.1007/978-3-031-39244-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c56482
_d56482