Developments in Connectionist Theory Series – serie
Visar alla böcker i serien Developments in Connectionist Theory Series. Handla med fri frakt och snabb leverans.
8 produkter
Neuroscience and Connectionist Theory
Av Mark A. Gluck, David E. Rumelhart
Inbunden, 1990
2590 kr
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Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological …
Philosophy and Connectionist Theory
Av William Ramsey, David E. Rumelhart m. fl.
Inbunden, 1991
2515 kr
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The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and …
Neuroscience and Connectionist Theory
Av Mark A. Gluck, David E. Rumelhart
Häftad, 1990
1254 kr
Lägg i varukorg
Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological …
Mathematical Perspectives on Neural Networks
Av Paul Smolensky, Michael C. Mozer m. fl.
Inbunden, 1996
4781 kr
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Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, …
Backpropagation
Theory, Architectures, and Applications
Av Yves Chauvin, David E. Rumelhart
Inbunden, 1995
2590 kr
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Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The …
Backpropagation
Theory, Architectures, and Applications
Av Yves Chauvin, David E. Rumelhart
Häftad, 1995
1659 kr
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Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The …
Philosophy and Connectionist Theory
Av William Ramsey, David E. Rumelhart m. fl.
Häftad, 2016
926 kr
Lägg i varukorg
The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and …
Mathematical Perspectives on Neural Networks
Av Paul Smolensky, Michael C. Mozer m. fl.
Häftad, 2015
953 kr
Lägg i varukorg
Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, …
