03531nam 22006135 450 991076029000332120231101100740.03-031-39244-210.1007/978-3-031-39244-3(MiAaPQ)EBC30853135(Au-PeEL)EBL30853135(DE-He213)978-3-031-39244-3(CKB)28652797400041(EXLCZ)992865279740004120231101d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDeep Learning Networks Design, Development and Deployment /by Jayakumar Singaram, S. S. Iyengar, Azad M. Madni1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (173 pages)Print version: Singaram, Jayakumar Deep Learning Networks Cham : Springer,c2023 9783031392436 Introduction -- 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.This 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.TelecommunicationMachine learningComputational intelligencePattern recognition systemsCommunications Engineering, NetworksMachine LearningComputational IntelligenceAutomated Pattern RecognitionTelecommunication.Machine learning.Computational intelligence.Pattern recognition systems.Communications Engineering, Networks.Machine Learning.Computational Intelligence.Automated Pattern Recognition.621.382Singaram Jayakumar1437531Iyengar S. S1069735Madni Azad M1058642MiAaPQMiAaPQMiAaPQBOOK9910760290003321Deep Learning Networks3598232UNINA02564nam0 22004933i 450 VAN0024942920250124103614.877N978303059562320220831d2020 |0itac50 baengCH|||| |||||Mathematical Concepts of Quantum MechanicsStephen J. Gustafson, Israel Michael Sigal3. edChamSpringer2020xiv, 456 p.ill.24 cm001VAN000245062001 Universitext210 Berlin [etc]Springer1930-VAN00249430Mathematical Concepts of Quantum Mechanics85146446N50Applications of functional analysis in quantum physics [MSC 2020]VANC023584MF47N50Applications of operator theory in the physical sciences [MSC 2020]VANC029010MF81-XXQuantum theory [MSC 2020]VANC019967MF81Q05Closed and approximate solutions to the Schrödinger, Dirac, Klein-Gordon and other equations of quantum mechanics [MSC 2020]VANC022770MF81Q10Selfadjoint operator theory in quantum theory, including spectral analysis [MSC 2020]VANC020683MF81SxxGeneral quantum mechanics and problems of quantization [MSC 2020]VANC023415MF81TxxQuantum field theory; related classical field theories [MSC 2020]VANC027580MF82-XXStatistical mechanics, structure of matter [MSC 2020]VANC021931MF82B10Quantum equilibrium statistical mechanics (general) [MSC 2020]VANC023339MFFunctional AnalysisKW:KQuantizationKW:KQuantum mechanicsKW:KSchrödinger equationsKW:KSpectral TheoryKW:KCHChamVANL001889GustafsonStephen J.VANV204021514684SigalIsrael MichaelVANV20402257141Springer <editore>VANV108073650ITSOL20250221RICAhttp://doi.org/10.1007/978-3-030-59562-3E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00249429BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 4736 08eMF4736 20220831 Mathematical concepts of quantum mechanics851464UNICAMPANIA