Spiking Neural Network Learning Benchmarking Programming And Executing
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Spiking Neural Network Learning Benchmarking Programming And Executing
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Author : Guoqi Li
language : en
Publisher: Frontiers Media SA
Release Date : 2020-06-05
Spiking Neural Network Learning Benchmarking Programming And Executing written by Guoqi Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-05 with categories.
Artificial Intelligence Theory And Applications
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Author : Endre Pap
language : en
Publisher: Springer Nature
Release Date : 2021-07-15
Artificial Intelligence Theory And Applications written by Endre Pap and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Technology & Engineering categories.
This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.
Neuroscience Computing Performance And Benchmarks Why It Matters To Neuroscience How Fast We Can Compute
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Author : Felix Schürmann
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-26
Neuroscience Computing Performance And Benchmarks Why It Matters To Neuroscience How Fast We Can Compute written by Felix Schürmann and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-26 with Science categories.
Hardware For Artificial Intelligence
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Author : Alexantrou Serb
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-26
Hardware For Artificial Intelligence written by Alexantrou Serb and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Science categories.
Understanding And Bridging The Gap Between Neuromorphic Computing And Machine Learning
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Author : Lei Deng
language : en
Publisher: Frontiers Media SA
Release Date : 2021-05-05
Understanding And Bridging The Gap Between Neuromorphic Computing And Machine Learning written by Lei Deng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-05 with Science categories.
Spinnaker A Spiking Neural Network Architecture
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Author : Steve Furber
language : en
Publisher: NowOpen
Release Date : 2020-03-15
Spinnaker A Spiking Neural Network Architecture written by Steve Furber and has been published by NowOpen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-15 with categories.
This books tells the story of the origins of the world's largest neuromorphic computing platform, its development and its deployment, and the immense software development effort that has gone into making it openly available and accessible to researchers and students the world over
Neural Engineering
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Author : Chris Eliasmith
language : en
Publisher: MIT Press
Release Date : 2003
Neural Engineering written by Chris Eliasmith and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.
The Neuron Book
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Author : Nicholas T. Carnevale
language : en
Publisher: Cambridge University Press
Release Date : 2006-01-12
The Neuron Book written by Nicholas T. Carnevale and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-12 with Medical categories.
The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
Programming Neural Networks With Encog 3 In Java
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Author : Jeff Heaton
language : en
Publisher:
Release Date : 2011
Programming Neural Networks With Encog 3 In Java written by Jeff Heaton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Beginning where our introductory neural network programing book left off, this book introduces you to Encog. Encog allows you to focus less on the actual implementation of neural networks and focus on how to use them. Encog is an advanced neural network programming framework that allows you to create a variety of neural network architectures using the Java programming language. Neural network architectures such as feedforward/perceptrons, Hopfield, Elman, Jordan, Radial Basis Function, and Self Organizing maps are all demonstrated. This book also shows how to use Encog to train neural networks using a variety of means. Several propagation techniques, such as back propagation, resilient propagation (RPROP) and the Manhattan update rule are discussed. Additionally, training with a genetic algorithm and simulated annealing is discussed as well. You will also see how to enhance training using techniques such as pruning and hybrid training.
Federated Learning
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Author : Qiang Yang
language : en
Publisher: Springer Nature
Release Date : 2020-11-25
Federated Learning written by Qiang Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-25 with Computers categories.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”