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Changes In Learning Rate As A Function Of The Modification Of Reinforcement
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Book Synopsis Better Deep Learning by : Jason Brownlee
Download or read book Better Deep Learning written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-12-13 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning neural networks have become easy to define and fit, but are still hard to configure. Discover exactly how to improve the performance of deep learning neural network models on your predictive modeling projects. With clear explanations, standard Python libraries, and step-by-step tutorial lessons, you’ll discover how to better train your models, reduce overfitting, and make more accurate predictions.
Book Synopsis The Science of Learning by : Joseph J. Pear
Download or read book The Science of Learning written by Joseph J. Pear and published by Psychology Press. This book was released on 2014-01-02 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Growing at an ever-increasing pace for over a century, the solid body of concepts and facts that constitute the science of learning demand a comprehensive, systematic introduction. Completely up-to-date and written in a direct, easy-to-read style that is suitable for undergraduates, The Science of Learning is such an introduction. Because its focus is on what is known rather than what is speculated, this book differs from other learning texts by not dwelling on which theories are or are not in vogue. The text's comprehensive coverage makes it an ideal reference for more advanced scholars and specialists in learning and related fields.
Download or read book Research in Education written by and published by . This book was released on 1974 with total page 1280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton
Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Book Synopsis Hands-On Deep Learning with R by : Michael Pawlus
Download or read book Hands-On Deep Learning with R written by Michael Pawlus and published by Packt Publishing Ltd. This book was released on 2020-04-24 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Key FeaturesUnderstand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problemImprove models using parameter tuning, feature engineering, and ensemblingApply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domainsBook Description Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning algorithms and architectures with R programming. This book starts with a brief overview of machine learning and deep learning and how to build your first neural network. You’ll understand the architecture of various deep learning algorithms and their applicable fields, learn how to build deep learning models, optimize hyperparameters, and evaluate model performance. Various deep learning applications in image processing, natural language processing (NLP), recommendation systems, and predictive analytics will also be covered. Later chapters will show you how to tackle recognition problems such as image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices. Toward the end of the book, you will learn the common applications of GANs and how to build a face generation model using them. Finally, you’ll get to grips with using reinforcement learning and deep reinforcement learning to solve various real-world problems. By the end of this deep learning book, you will be able to build and deploy your own deep learning applications using appropriate frameworks and algorithms. What you will learnDesign a feedforward neural network to see how the activation function computes an outputCreate an image recognition model using convolutional neural networks (CNNs)Prepare data, decide hidden layers and neurons and train your model with the backpropagation algorithmApply text cleaning techniques to remove uninformative text using NLPBuild, train, and evaluate a GAN model for face generationUnderstand the concept and implementation of reinforcement learning in RWho this book is for This book is for data scientists, machine learning engineers, and deep learning developers who are familiar with machine learning and are looking to enhance their knowledge of deep learning using practical examples. Anyone interested in increasing the efficiency of their machine learning applications and exploring various options in R will also find this book useful. Basic knowledge of machine learning techniques and working knowledge of the R programming language is expected.
Book Synopsis Applied Mathematics, Modeling and Computer Simulation by : C.-H. Chen
Download or read book Applied Mathematics, Modeling and Computer Simulation written by C.-H. Chen and published by IOS Press. This book was released on 2022-12-20 with total page 1170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied mathematics, together with modeling and computer simulation, is central to engineering and computer science and remains intrinsically important in all aspects of modern technology. This book presents the proceedings of AMMCS 2022, the 2nd International Conference on Applied Mathematics, Modeling and Computer Simulation, held in Wuhan, China, on 13 and 14 August 2022, with online presentations available for those not able to attend in person due to continuing pandemic restrictions. The conference served as an open forum for the sharing and spreading of the newest ideas and latest research findings among all those involved in any aspect of applied mathematics, modeling and computer simulation, and offered an ideal platform for bringing together researchers, practitioners, scholars, professors and engineers from all around the world to exchange the newest research results and stimulate scientific innovation. More than 150 participants were able to exchange knowledge and discuss the latest developments at the conference. The book contains 127 peer-reviewed papers, selected from more than 200 submissions and ranging from the theoretical and conceptual to the strongly pragmatic; all addressing industrial best practice. Topics covered included mathematical modeling and application, engineering applications and scientific computations, and simulation of intelligent systems. The book shares practical experiences and enlightening ideas and will be of interest to researchers and practitioners in applied mathematics, modeling and computer simulation everywhere.
Book Synopsis Stimulus Sampling Theory by : Edith D. Neimark
Download or read book Stimulus Sampling Theory written by Edith D. Neimark and published by . This book was released on 1967 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :National Institutes of Health (U.S.). Division of Research Grants Publisher : ISBN 13 : Total Pages :1120 pages Book Rating :4.:/5 (3 download)
Book Synopsis Research Grants Index by : National Institutes of Health (U.S.). Division of Research Grants
Download or read book Research Grants Index written by National Institutes of Health (U.S.). Division of Research Grants and published by . This book was released on 1967 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Biofeedback and the Modification of Behavior by : Aubrey J. Yates
Download or read book Biofeedback and the Modification of Behavior written by Aubrey J. Yates and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, I have attempted to evaluate critically the very large literature which has accumulated in the area of biofeedback over the past 10-15 years. As might be expected in any area of psychology with clinical possibilities, the literature divides itself into two main categories-fundamental research studies and therapeutic studies. It is now apparent that the clinical applications of biofeed back have far outstripped their fundamental research bases, with the inevitable result that the initial wave of enthusiasm may be replaced with an unnecessarily severe skepticism. Either extreme position is unjustified. Biofeedback does rep resent an important new approach to the elucidation of the role played by internal systems in the adjustment of the organism to its environment. But its potential will only be revealed if its use in practice is soundly based on fundamental research. There are promising signs that this is being realized so that there is cause for optimism. Aubrey J. Yates Perth, Australia A Note on the References With the exception of no more than two or three papers, all the references in this book have been obtained and read. However, many of them were published in journals which will not be readily accessible to the reader who may be interested in consulting more directly particular articles which attract his attention.
Book Synopsis Embodiment and Co-Adaptation Through Human-Machine Interfaces: at the Border of Robotics, Neuroscience and Psychology by : Philipp Beckerle
Download or read book Embodiment and Co-Adaptation Through Human-Machine Interfaces: at the Border of Robotics, Neuroscience and Psychology written by Philipp Beckerle and published by Frontiers Media SA. This book was released on 2022-04-18 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Neuroeconomics by : Paul W. Glimcher
Download or read book Neuroeconomics written by Paul W. Glimcher and published by Academic Press. This book was released on 2008-10-10 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroeconomics is a new highly promising approach to understanding the neurobiology of decision making and how it affects cognitive social interactions between humans and societies/economies. This book is the first edited reference to examine the science behind neuroeconomics, including how it influences human behavior and societal decision making from a behavioral economics point of view. Presenting a truly interdisciplinary approach, Neuroeconomics presents research from neuroscience, psychology, and behavioral economics, and includes chapters by all the major figures in the field, including two Economics Nobel laureates.* An authoritative reference written and edited by acknowledged experts and founders of the field * Presents an interdisciplinary view of the approaches, concepts, and results of the emerging field of neuroeconomics relevant for anyone interested in this area of research* Full-color presentation throughout with carefully selected illustrations to highlight key concepts
Book Synopsis Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata by : Pedro U. Lima
Download or read book Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata written by Pedro U. Lima and published by World Scientific. This book was released on 1996 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years works done by most researchers towards building autonomous intelligent controllers frequently mention the need for a methodology of design and a measure of how successful the final result is. This monograph introduces a design methodology for intelligent controllers based on the analytic theory of intelligent machines introduced by Saridis in the 1970s. The methodology relies on the existing knowledge about designing the different sub-systems composing an intelligent machine. Its goal is to provide a performance measure applicable to any of the sub-systems, and use that measure to learn on-line the best among the set of pre-designed alternatives, given the state of the environment where the machine operates. Different designs can be compared using this novel approach.
Book Synopsis AI, IoT, Big Data and Cloud Computing for Industry 4.0 by : Amy Neustein
Download or read book AI, IoT, Big Data and Cloud Computing for Industry 4.0 written by Amy Neustein and published by Springer Nature. This book was released on 2023-07-31 with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents some of the most advanced leading-edge technology for the fourth Industrial Revolution -- known as “Industry 4.0.” The book provides a comprehensive understanding of the interconnections of AI, IoT, big data and cloud computing as integral to the technologies that revolutionize the way companies produce and distribute products and the way local governments deliver their services. The book emphasizes that at every phase of the supply chain, manufactures are found to be interweaving AI, robotics, IoT, big data/machine learning, and cloud computing into their production facilities and throughout their distribution networks. Equally important, the authors show how their research can be applied to computer vision, cyber security, database and compiler theory, natural language processing, healthcare, education and agriculture. Presents the fundamentals of AI, IoT, and cloud computing and how they can be incorporated in Industry 4.0 applications Motivates readers to address challenges in the areas of speech communication and signal processing Provides numerous examples, case studies, technical descriptions, and approaches of AI/ML
Book Synopsis Emotion and Decision Making Explained by : Edmund T. Rolls
Download or read book Emotion and Decision Making Explained written by Edmund T. Rolls and published by . This book was released on 2014 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? What is the relation between emotion, and reward value, and subjective feelings of pleasure? These are just some of the question considered in this book, written by a leading neuroscientist in this field.
Download or read book Resources in Education written by and published by . This book was released on 1974-07 with total page 1072 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Federal Register written by and published by . This book was released on 1993-08-02 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Augmented Cognition by : Dylan D. Schmorrow
Download or read book Augmented Cognition written by Dylan D. Schmorrow and published by Springer Nature. This book was released on 2023-07-08 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of 17th International Conference, AC 2023, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The AC 2023 conference focuses on topics related to Brain-Computer Interfaces and neurotechnology; neuroergonomics, physiological measurements, and human performance; evolving theory and practice of AC; Augmented and Virtual Reality for AC; as well as understanding human cognition and performance in IT security.
