LEADER 04124nam 22004933 450 001 9911011857203321 005 20241129080259.0 010 $a1-83702-406-5 035 $a(CKB)36679609900041 035 $a(MiAaPQ)EBC31805534 035 $a(Au-PeEL)EBL31805534 035 $a(FR-PaCSA)88962228 035 $a(FRCYB88962228)88962228 035 $a(DE-B1597)730428 035 $a(DE-B1597)9781837024063 035 $a(OCoLC)1474242755 035 $a(EXLCZ)9936679609900041 100 $a20241129d2019 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence Engines $eA Tutorial Introduction to the Mathematics of Deep Learning 205 $a1st ed. 210 1$aBirmingham :$cPackt Publishing, Limited,$d2019. 210 4$d©2019. 215 $a1 online resource (217 pages) 311 08$a1-9162791-1-2 311 08$a1-83702-407-3 327 $tArtificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning 330 $aDive into the fundamentals of artificial intelligence engines, covering deep learning and its mathematical underpinnings. Practical examples and tutorials help bridge the gap between theoretical AI concepts and applications.Key FeaturesComprehensive breakdown of foundational and advanced AI algorithms with practical insights.Clear explanations of deep learning architectures, including GANs, autoencoders, and CNNs.Step-by-step guidance on implementing mathematical concepts in real-world AI applications.Book DescriptionThis book is a comprehensive guide to the mathematics behind artificial intelligence engines, taking readers from foundational concepts to advanced applications. It begins with an introduction to artificial neural networks, exploring topics like perceptrons, linear associative networks, and gradient descent. Practical examples accompany each chapter, making complex mathematical principles accessible, even for those with limited prior knowledge. The book's detailed structure covers key algorithms like backpropagation, Hopfield networks, and Boltzmann machines, advancing to deep restricted Boltzmann machines, variational autoencoders, and convolutional neural networks. Modern topics such as generative adversarial networks, reinforcement learning, and capsule networks are explored in depth. Each section connects theory to real-world AI applications, helping readers understand how these techniques are used in practice. Ideal for students, researchers, and AI enthusiasts, the book balances theoretical depth with practical insights. Basic mathematical knowledge or foundation is recommended, allowing readers to fully engage with the content. This book serves as an accessible yet thorough resource for anyone eager to dive deeper into artificial intelligence and machine learning.What you will learnMaster the fundamentals of artificial neural networks effectively.Apply gradient descent techniques for training neural networks.Design perceptrons to solve classification and logic problems.Explore the mechanics of backpropagation in learning processes.Analyze Boltzmann machines for generative model applications.Examine reinforcement learning for decision-making scenarios.Who this book is forStudents and professionals interested in artificial intelligence and machine learning will find this book an invaluable resource. A basic mathematical knowledge or foundation is recommended to follow the concepts effectively. Suitable for researchers, engineers, and AI enthusiasts aiming to strengthen their theoretical understanding while gaining practical implementation skills. 606 $aCOMPUTERS / Neural Networks$2bisacsh 606 $aMATHEMATICS / General$2bisacsh 615 7$aCOMPUTERS / Neural Networks 615 7$aMATHEMATICS / General 700 $aStone$b James V$0771800 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911011857203321 996 $aArtificial Intelligence Engines$94403493 997 $aUNINA LEADER 04854nam 22006495 450 001 9910337732103321 005 20200704032556.0 010 $a3-030-16331-8 024 7 $a10.1007/978-3-030-16331-0 035 $a(CKB)4100000008409094 035 $a(MiAaPQ)EBC5788960 035 $a(DE-He213)978-3-030-16331-0 035 $a(EXLCZ)994100000008409094 100 $a20190611d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aChildren and Adolescents in Times of Crises in Europe /$fedited by Marc Grimm, Baris Ertugrul, Ullrich Bauer 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (214 pages) 225 1 $aChildren?s Well-Being: Indicators and Research,$x1879-5196 ;$v20 311 $a3-030-16330-X 327 $aPart 1. Introduction -- Chapter 1. Challenges and Tasks of a Child-oriented Crisis Research (Marc Grimm) -- Part 2. Impacts of Crises -- Chapter 2. Insecure Right from the Start? Socialization Effects of Self-perceived Job Insecurity (Christina Lübke) -- Chapter 3. Reviewing the Literature of Child Well-being in the Context of the Economic Crisis from a Non-monetary Perspective (Almudena Moren Mínguez) -- Chapter 4. On the Extremes: Poverty of Young Households in Greece and Germany (Brigitte Schels) -- Chapter 5. A Case Study of a Greek Family in Crisis (Nikos Panayotopoulos) -- Part 3. Policy Responses and Public Discourses on Crises -- Chapter 6. Transformation of Welfare Policy for Children and Adolescents in Post-crisis Austria (Roland Atzmüller) -- Chapter 7. The German Child Poverty Discourse and its Rhetorics of Crisis (Maksim Hübenthal) -- Chapter 8. The Discourse on Appropriate State Responses on the Impact of Economic Crisis on the Living Conditions of Children (Alexandra Kaasch) -- Chapter 9. Policies of Crises in the EU Youth Field. How Political Discourses and Agendas Reshape the Concept of Youth (Andreas Heinen) -- Part 4. Subjective Processing of Crises -- Chapter 10. Immigrant Children in Switzerland During their Transition to Adulthood in Times of Crises: Lives Caught between Meritocratic Promise and Experiences of Inequality and Insecurity (Eva Mey) -- Chapter 11. Coping Strategies and Capabilities of Migrant Adolescents in Everyday Life Results of a Health-Ethnographic Project (Uwe H. Bittlingmayer) -- Chapter 12. ?And then it got Really Hard?. Innovative Approaches to Crises Research that Focus Individual Suffering in Times of Crisis (Franz Schultheis). 330 $aThis book presents an analysis of the impact of the social crisis on the well-being of children and adolescents in Europe. Focusing on the fields of health, employment and social status, this book highlights that the impact of crisis has to be viewed in light of the state policies in reaction to crisis. Chapters in the book offer new perspectives of a reflexive crisis research objectifying crisis and analyzing what is referred to as crisis by whom, how, for what purposes and with which implicit or explicit solutions. This book offers empirical evidence and unique analytical approaches in the field of a child- and adolescent-oriented crisis research. . 410 0$aChildren?s Well-Being: Indicators and Research,$x1879-5196 ;$v20 606 $aWell-being 606 $aChildren 606 $aInfant psychology 606 $aChild development 606 $aChildren 606 $aAdolescence 606 $aChild Well-being$3https://scigraph.springernature.com/ontologies/product-market-codes/X31000 606 $aInfancy and Early Childhood Development$3https://scigraph.springernature.com/ontologies/product-market-codes/Y12050 606 $aEarly Childhood Education$3https://scigraph.springernature.com/ontologies/product-market-codes/O37000 606 $aChildhood, Adolescence and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/X22090 615 0$aWell-being. 615 0$aChildren. 615 0$aInfant psychology. 615 0$aChild development. 615 0$aChildren. 615 0$aAdolescence. 615 14$aChild Well-being. 615 24$aInfancy and Early Childhood Development. 615 24$aEarly Childhood Education. 615 24$aChildhood, Adolescence and Society. 676 $a305.235 676 $a362.7 702 $aGrimm$b Marc$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aErtugrul$b Baris$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBauer$b Ullrich$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337732103321 996 $aChildren and Adolescents in Times of Crises in Europe$92516287 997 $aUNINA