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001438457 001__ 1438457
001438457 003__ OCoLC
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001438457 019__ $$a1262372975
001438457 020__ $$a9783030665197$$q(electronic bk.)
001438457 020__ $$a3030665194$$q(electronic bk.)
001438457 020__ $$z3030665186
001438457 020__ $$z9783030665180
001438457 0247_ $$a10.1007/978-3-030-66519-7$$2doi
001438457 035__ $$aSP(OCoLC)1261877306
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001438457 049__ $$aISEA
001438457 050_4 $$aQ325.5
001438457 08204 $$a006.3/1$$223
001438457 24500 $$aAdvanced deep learning for engineers and scientists :$$ba practical approach /$$cKolla Bhanu Prakash, Ramani Kannan, S. Albert Alexander, G.R. Kanagachidambaresan, editors.
001438457 260__ $$aCham, Switzerland :$$bSpringer,$$c2021.
001438457 300__ $$a1 online resource
001438457 336__ $$atext$$btxt$$2rdacontent
001438457 337__ $$acomputer$$bc$$2rdamedia
001438457 338__ $$aonline resource$$bcr$$2rdacarrier
001438457 4901_ $$aEAI/Springer innovations in communication and computing,$$x2522-8595
001438457 500__ $$aIncludes index.
001438457 5050_ $$aIntroduction -- Introduction to ANN -- Introduction to Deep Learning -- Deep Soft Computing using Python -- Working with Keras -- Deep learning Applications using Python -- Advanced Deep learning techniques -- Conclusion.
001438457 506__ $$aAccess limited to authorized users.
001438457 520__ $$aThis book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.
001438457 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 3, 2021).
001438457 650_0 $$aMachine learning.
001438457 650_6 $$aApprentissage automatique.
001438457 655_0 $$aElectronic books.
001438457 7001_ $$aPrakash, Kolla Bhanu,$$eeditor.
001438457 7001_ $$aKannan, Ramani,$$eeditor.
001438457 7001_ $$aAlbert Alexander, S.,$$eeditor.
001438457 7001_ $$aKanagachidambaresan, G. R.,$$d1988-$$eeditor.
001438457 77608 $$iPrint version:$$tAdvanced deep learning for engineers and scientists.$$dCham, Switzerland : Springer, 2021$$z3030665186$$z9783030665180$$w(OCoLC)1223071587
001438457 830_0 $$aEAI/Springer innovations in communication and computing,$$x2522-8595
001438457 852__ $$bebk
001438457 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66519-7$$zOnline Access$$91397441.1
001438457 909CO $$ooai:library.usi.edu:1438457$$pGLOBAL_SET
001438457 980__ $$aBIB
001438457 980__ $$aEBOOK
001438457 982__ $$aEbook
001438457 983__ $$aOnline
001438457 994__ $$a92$$bISE