Description: Gradient Expectations by Keith L. Downing "This book investigates the notion that the brains primary function is prediction and uses deep learning to explore how our brains manage prediction and how this can lead to improved AI systems"-- FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description An insightful investigation into the mechanisms underlying the predictive functions of neural networks-and their ability to chart a new path for AI.An insightful investigation into the mechanisms underlying the predictive functions of neural networks-and their ability to chart a new path for AI.Prediction is a cognitive advantage like few others, inherently linked to our ability to survive and thrive. Our brains are awash in signals that embody prediction. Can we extend this capability more explicitly into synthetic neural networks to improve the function of AI and enhance its place in our world? Gradient Expectations is a bold effort by Keith L. Downing to map the origins and anatomy of natural and artificial neural networks to explore how, when designed as predictive modules, their components might serve as the basis for the simulated evolution of advanced neural network systems.Downing delves into the known neural architecture of the mammalian brain to illuminate the structure of predictive networks and determine more precisely how the ability to predict might have evolved from more primitive neural circuits. He then surveys past and present computational neural models that leverage predictive mechanisms with biological plausibility, identifying elements, such as gradients, that natural and artificial networks share. Behind well-founded predictions lie gradients, Downing finds, but of a different scope than those that belong to todays deep learning. Digging into the connections between predictions and gradients, and their manifestation in the brain and neural networks, is one compelling example of how Downing enriches both our understanding of such relationships and their role in strengthening AI tools.Synthesizing critical research in neuroscience, cognitive science, and connectionism, Gradient Expectations offers unique depth and breadth of perspective on predictive neural-network models, including a grasp of predictive neural circuits that enables the integration of computational models of prediction with evolutionary algorithms. Author Biography Keith L. Downing is Professor of Artificial Intelligence and Artificial Life at the Norwegian University of Science and Technology and the author of Intelligence Emerging- Adaptivity and Search in Evolving Neural Systems (MIT Press). Table of Contents Preface xiAcknowledgments xv1 Introduction 12 Conceptual Foundation of Prediction 113 Biological Foundations of Prediction 294 Neural Energy Networks 615 Predictive Coding 936 Emergence of Predictive Networks 1177 Evolving Artificial Predictive Networks 1498 Conclusion 187Notes 195References 197Index 205 Details ISBN0262545616 Author Keith L. Downing Short Title Gradient Expectations Language English Year 2023 ISBN-10 0262545616 ISBN-13 9780262545617 Format Paperback Publication Date 2023-07-18 Subtitle Structure, Origins, and Synthesis of Predictive Neural Networks Publisher MIT Press Ltd Imprint MIT Press Country of Publication United States AU Release Date 2023-07-18 NZ Release Date 2023-07-18 US Release Date 2023-07-18 UK Release Date 2023-07-18 Pages 224 Illustrations 5 colour illustrations, 97 black and white illustrations DEWEY 006.32 Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:142692523;
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Format: Paperback
Language: English
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Author: Keith L. Downing
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Book Title: Gradient Expectations
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