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Deep Learning A Modern Approach


Deep Learning A Modern Approach
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Deep Learning A Modern Approach


Deep Learning A Modern Approach
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Author : Dr. RamiReddy KondaReddy
language : en
Publisher: AG Publishing House
Release Date :

Deep Learning A Modern Approach written by Dr. RamiReddy KondaReddy and has been published by AG Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Study Aids categories.


Deep learning is a popular topic these days since it is a high-level machine learning approach that combines a class of learning algorithms with the application of multiple layers of nonlinear units. A subfield of machine learning, deep learning focuses on powerful algorithms inspired by the structure and function of the human brain called neural networks. A unified geometric analysis to understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are described from a unified geometric perspective, showing that they actually come from statistical distance-minimization problems. This textbook provides a clear and interesting introduction to deep learning, covering a variety of connectionist models that are considered state-of-the-art at the moment. Using a clear and comprehensible writing style, the work examines today's most well-liked algorithms and architectures while also providing a thorough breakdown of their underlying mathematical foundations. Convolutional networks, long short-term memories, word2vec, random bit networks, decision-based networks, neural turing machines, memory networks, autoencoders, and more are all discussed.



Modern Approaches In Machine Learning And Cognitive Science A Walkthrough


Modern Approaches In Machine Learning And Cognitive Science A Walkthrough
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2020-02-04

Modern Approaches In Machine Learning And Cognitive Science A Walkthrough written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-04 with Technology & Engineering categories.


This book discusses various machine learning & cognitive science approaches, presenting high-throughput research by experts in this area. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on intelligent systems, the book is a valuable reference resource for students, researchers and industry practitioners wanting to keep abreast of recent developments in this dynamic, exciting and profitable research field. It is intended for postgraduate students, researchers, scholars and developers who are interested in machine learning and cognitive research, and is also suitable for senior undergraduate courses in related topics. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented systems and developers of embedded and real-time systems.



Modern Approaches In Iot And Machine Learning For Cyber Security


Modern Approaches In Iot And Machine Learning For Cyber Security
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2023-12-07

Modern Approaches In Iot And Machine Learning For Cyber Security written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-07 with Technology & Engineering categories.


This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.



Modern Approaches In Machine Learning Cognitive Science A Walkthrough


Modern Approaches In Machine Learning Cognitive Science A Walkthrough
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2022-04-22

Modern Approaches In Machine Learning Cognitive Science A Walkthrough written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-22 with Technology & Engineering categories.


This book provides a systematic and comprehensive overview of AI and machine learning which have got the ability to identify patterns in large and complex data sets. A remarkable success has been experienced in the last decade by emulating the brain computer interface. It presents the cognitive science methods and technologies that have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focuses on audiences interested in machine learning, cognitive and neuro-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming.



Artificial Intelligence For Human Computer Interaction A Modern Approach


Artificial Intelligence For Human Computer Interaction A Modern Approach
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Author : Yang Li
language : en
Publisher: Springer Nature
Release Date : 2021-11-04

Artificial Intelligence For Human Computer Interaction A Modern Approach written by Yang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-04 with Computers categories.


This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.



Modern Approaches To Augmentation Of Brain Function


Modern Approaches To Augmentation Of Brain Function
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Author : Ioan Opris
language : en
Publisher: Springer Nature
Release Date : 2021-08-25

Modern Approaches To Augmentation Of Brain Function written by Ioan Opris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-25 with Medical categories.


This book covers recent advances in neural technology that provide for enhancements for brain function. It addresses a broad range of neural phenomena occurring in the brain circuits involved in perception, cognition, emotion and action, that represent the building blocks of behavior and cognition. Augmentation of brain function can be achieved by using brain implants for recordings, stimulation, or drug delivery. Alternative methods include employing brain-machine interfaces, as well as noninvasive activation of certain brain areas. This volume evaluates existing methods of brain augmentation while discussing the brain circuitry and neuronal mechanisms that make augmentation possible. This volume offers novel insights into brain disorders, and explores new devices for brain repair while also addressing the philosophical and ethical implications of brain augmentation. The information in this book is relevant to researchers in the fields of neuroscience, engineering, and clinical practice. Advance Praise for Modern Approaches to Augmentation of Brain Function: “This impressive book by leading experts in neuroscience and neuroengineering lays out the future of brain augmentation, in which the human mind and machine merge, leading to a rapid exponential growth of the power of humanity.” Ray Kurzweil, best-selling author, inventor, entrepreneur and a recipient of the National Medal of Technology and Innovation (1999), and the Lemelson-MIT Prize (2001) "This book employs a holistic approach in covering the recent advances in the fields of neuroscience, neuroinformatics, neurotechnology and neuro-psycho-pharmacology. Each chapter of the book covers major aspects of modern brain research in connection with the human mind and behavior, and is authored by researchers with unique expertise in their field. " Ioan Dumitrache, Prof. Dr. Eng. Faculty of Computer Science, Polytechnic University of Bucharest, Bucharest, Romania “This book presents compelling perspectives on what interactive neuroscience will look like in the future, delving into the innovatory ideas of a diverse set of neuroscientists, and speculating on the different ways computer chips implanted in the brains of humans can effect intelligence and communication.” György Buzsáki, MD, PhD is the Biggs Professor of Neuroscience, NYU School of Medicine, New York, NY



A Modern Approach For Machine Learning


A Modern Approach For Machine Learning
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Author : Sandeep Kumar Singh
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-02-06

A Modern Approach For Machine Learning written by Sandeep Kumar Singh and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Computers categories.


Sandeep Kumar Singh, Assistant Professor, Computer Science & Engineering, Galgotia College of Engineering & Technology, Knowledge Park II Greater Noida, Uttar Pradesh, India. Dr. Jagdish Makhijani, Assistant Professor, Computer Science & Engineering, Rustamji Institute of Technology, BSF Academy, Tekanpur, Gwalior, Madhya Pradesh, India. Dr Manoj Kumar Niranjan, Assistant Professor, Computer Applications, Rustamji Institute of Technology, BSF Academy, Tekanpur, Gwalior, Madhya Pradesh, India. Nishant Chaurasia, Lecturer, Computer Science and Engineering, S V Polytechnic College, Bhopal, Madhya Pradesh, India.



Artificial Intelligence A Modern Approach


Artificial Intelligence A Modern Approach
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Author : Dr. Anil Kumar
language : en
Publisher: Xoffencerpublication
Release Date : 2024-05-18

Artificial Intelligence A Modern Approach written by Dr. Anil Kumar and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-18 with Computers categories.


Here we try to define artificial intelligence (AI) and explain why we think it deserves more attention than other worthy research topics; obviously, this is a prerequisite to doing any kind of study in this area. We humans take great pride in our intelligence; in fact, we call ourselves Homo sapiens, which means "man the wise." Human cognition has long baffled scientists, who have sought to explain how a little particle of stuff like us can see, understand, predict, and control an enormous and complex cosmos. Beyond that, the field of artificial intelligence (AI) aims to do more than just understand; it aims to build intelligent objects. One of the newest innovations in engineering and science is AI. The name wasn't even thought of until 1956, although development started in earnest almost immediately after WWII ended. Science professionals from several disciplines often mention artificial intelligence (AI) as the "field I would most like to be in" next to molecular biology. If you're a physics student, you could think that all the great thinkers like Galileo, Newton, Einstein, and others have thought of everything. Conversely, AI is still on the market for a handful of brilliant minds to join their team full-time. At now, AI encompasses a wide variety of subfields, from the broad (perception and learning) to the narrow (proving mathematical theorems, writing poetry, operating a car on a congested street, and disease detection, among many others). These are but a few of the many activities that might be categorised as AI-related. Artificial intelligence (AI) is a field that really covers all intellectual pursuits; it is relevant to everyone



Modern Approaches For Intelligent Information And Database Systems


Modern Approaches For Intelligent Information And Database Systems
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Author : Andrzej Sieminski
language : en
Publisher: Springer
Release Date : 2018-02-23

Modern Approaches For Intelligent Information And Database Systems written by Andrzej Sieminski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-23 with Technology & Engineering categories.


This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems, Internet of things (IoT), computer vision, and tools and techniques for Intelligent Information Systems. They are extended versions of papers presented at the ACIIDS 2018 conference (10th Asian Conference on Intelligent Information and Database Systems), which was held in Dong Hoi City, Vietnam on 19–21 March 2018. What all researchers and students of computer science need is a state-of-the-art report on the latest trends in their respective areas of interest. Over the years, researchers have proposed increasingly complex theoretical models, which provide the theoretical basis for numerous applications. The applications, in turn, have a profound influence on virtually every aspect of human activities, while also allowing us to validate the underlying theoretical concepts.



Modern Approaches In Applied Intelligence


Modern Approaches In Applied Intelligence
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Author : Kishan G. Mehrotra
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-17

Modern Approaches In Applied Intelligence written by Kishan G. Mehrotra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-17 with Computers categories.


The two volume set LNAI 6703 and LNAI 6704 constitutes the thoroughly refereed conference proceedings of the 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, held in Syracuse, NY, USA, in June/July 2011. The total of 92 papers selected for the proceedings were carefully reviewed and selected from 206 submissions. The papers cover a wide number of topics including feature extraction, discretization, clustering, classification, diagnosis, data refinement, neural networks, genetic algorithms, learning classifier systems, Bayesian and probabilistic methods, image processing, robotics, navigation, optimization, scheduling, routing, game theory and agents, cognition, emotion, and beliefs.