03530nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001800172072001600190072002300206072001500229100008900244245014400333250001800477264006900495300006700564336002600631337002600657338003600683347002400719505042700743520113401170650002302304650002902327650003902356650004002395650004202435650002902477650003902506650004202545700008302587700008302670710003402753773002602787776003602813776003602849776003602885856004602921912001402967912001402981999001702995978-3-031-39244-3DE-He21320251030110828.0cr nn 008mamaa231101s2024    sz |    s    |||| 0|eng d  a97830313924439978-3-031-39244-37 a10.1007/978-3-031-39244-32doi 4aTK5101-5105.9 7aTJK2bicssc 7aTEC0410002bisacsh 7aTJK2thema1 aSingaram, Jayakumar.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut96691510aDeep Learning Networksh[electronic resource] :bDesign, Development and Deployment /cby Jayakumar Singaram, S. S. Iyengar, Azad M. Madni.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXXIII, 161 p. 71 illus., 70 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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.  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. 0aTelecommunication. 0aMachine learning.955059 0aComputational intelligence.964052 0aPattern recognition systems.96554714aCommunications Engineering, Networks.24aMachine Learning.95505924aComputational Intelligence.96405224aAutomated Pattern Recognition.9655511 aIyengar, S. S.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9669161 aMadni, Azad M.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9669172 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303139243608iPrinted edition:z978303139245008iPrinted edition:z978303139246740uhttps://doi.org/10.1007/978-3-031-39244-3  aZDB-2-ENG  aZDB-2-SXE  c56482d56482