LEADER 03531nam 22006135 450 001 9910760290003321 005 20231101100740.0 010 $a3-031-39244-2 024 7 $a10.1007/978-3-031-39244-3 035 $a(MiAaPQ)EBC30853135 035 $a(Au-PeEL)EBL30853135 035 $a(DE-He213)978-3-031-39244-3 035 $a(CKB)28652797400041 035 $a(EXLCZ)9928652797400041 100 $a20231101d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning Networks $eDesign, Development and Deployment /$fby Jayakumar Singaram, S. S. Iyengar, Azad M. Madni 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (173 pages) 311 08$aPrint version: Singaram, Jayakumar Deep Learning Networks Cham : Springer,c2023 9783031392436 327 $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. 330 $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. 606 $aTelecommunication 606 $aMachine learning 606 $aComputational intelligence 606 $aPattern recognition systems 606 $aCommunications Engineering, Networks 606 $aMachine Learning 606 $aComputational Intelligence 606 $aAutomated Pattern Recognition 615 0$aTelecommunication. 615 0$aMachine learning. 615 0$aComputational intelligence. 615 0$aPattern recognition systems. 615 14$aCommunications Engineering, Networks. 615 24$aMachine Learning. 615 24$aComputational Intelligence. 615 24$aAutomated Pattern Recognition. 676 $a621.382 700 $aSingaram$b Jayakumar$01437531 701 $aIyengar$b S. S$01069735 701 $aMadni$b Azad M$01058642 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910760290003321 996 $aDeep Learning Networks$93598232 997 $aUNINA