Neural Networks in Unity

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Publisher : Apress
ISBN 13 : 1484236734
Total Pages : 166 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Neural Networks in Unity by : Abhishek Nandy

Download or read book Neural Networks in Unity written by Abhishek Nandy and published by Apress. This book was released on 2018-07-14 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You’ll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial. Once you’ve gained the basics, you’ll start programming Unity with C#. In this section the author discusses constructing neural networks for unsupervised learning, representing a neural network in terms of data structures in C#, and replicating a neural network in Unity as a simulation. Finally, you’ll define back propagation with Unity C#, before compiling your project. What You'll Learn Discover the concepts behind neural networks Work with Unity and C# See the difference between fully connected and convolutional neural networks Master neural network processing for Windows 10 UWP Who This Book Is For Gaming professionals, machine learning and deep learning enthusiasts.

Artificial Neural Networks with Java

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Publisher : Apress
ISBN 13 : 1484244214
Total Pages : 575 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Artificial Neural Networks with Java by : Igor Livshin

Download or read book Artificial Neural Networks with Java written by Igor Livshin and published by Apress. This book was released on 2019-04-12 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications. The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily. What You Will LearnPrepare your data for many different tasks Carry out some unusual neural network tasks Create neural network to process non-continuous functions Select and improve the development model Who This Book Is For Intermediate machine learning and deep learning developers who are interested in switching to Java.

Neural Nets WIRN10

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Publisher : IOS Press
ISBN 13 : 1607506912
Total Pages : 348 pages
Book Rating : 4.6/5 (75 download)

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Book Synopsis Neural Nets WIRN10 by : Bruno Apolloni

Download or read book Neural Nets WIRN10 written by Bruno Apolloni and published by IOS Press. This book was released on 2011 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Neural Networks - ICANN 2008

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540875581
Total Pages : 1012 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Artificial Neural Networks - ICANN 2008 by : Věra Kůrková

Download or read book Artificial Neural Networks - ICANN 2008 written by Věra Kůrková and published by Springer Science & Business Media. This book was released on 2008 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.

Artificial Neural Networks and Machine Learning – ICANN 2021

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Author :
Publisher : Springer Nature
ISBN 13 : 3030863832
Total Pages : 705 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2021 written by Igor Farkaš and published by Springer Nature. This book was released on 2021-09-10 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as representation learning, reservoir computing, semi- and unsupervised learning, spiking neural networks, text understanding, transfers and meta learning, and video processing. *The conference was held online 2021 due to the COVID-19 pandemic.

Advances in Neural Networks – ISNN 2019

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Publisher : Springer
ISBN 13 : 3030227960
Total Pages : 499 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Advances in Neural Networks – ISNN 2019 by : Huchuan Lu

Download or read book Advances in Neural Networks – ISNN 2019 written by Huchuan Lu and published by Springer. This book was released on 2019-06-26 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware.

ECCWS 2021 20th European Conference on Cyber Warfare and Security

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Author :
Publisher : Academic Conferences Inter Ltd
ISBN 13 : 1912764431
Total Pages : pages
Book Rating : 4.9/5 (127 download)

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Book Synopsis ECCWS 2021 20th European Conference on Cyber Warfare and Security by : Dr Thaddeus Eze

Download or read book ECCWS 2021 20th European Conference on Cyber Warfare and Security written by Dr Thaddeus Eze and published by Academic Conferences Inter Ltd. This book was released on 2021-06-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Conferences Proceedings of 20th European Conference on Cyber Warfare and Security

Signal

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Publisher :
ISBN 13 :
Total Pages : 1014 pages
Book Rating : 4.P/5 (18 download)

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Book Synopsis Signal by :

Download or read book Signal written by and published by . This book was released on 1990 with total page 1014 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Neural Networks - ISNN 2005

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Author :
Publisher : Springer
ISBN 13 : 3540320695
Total Pages : 1077 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Neural Networks - ISNN 2005 by : Jun Wang

Download or read book Advances in Neural Networks - ISNN 2005 written by Jun Wang and published by Springer. This book was released on 2005-05-04 with total page 1077 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

Machine learning methods for human brain imaging

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Publisher : Frontiers Media SA
ISBN 13 : 2832519105
Total Pages : 160 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Machine learning methods for human brain imaging by : Fatos Tunay Yarman Vural

Download or read book Machine learning methods for human brain imaging written by Fatos Tunay Yarman Vural and published by Frontiers Media SA. This book was released on 2023-03-29 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Securing Office 365

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Publisher : Apress
ISBN 13 : 1484242300
Total Pages : 649 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Securing Office 365 by : Matthew Katzer

Download or read book Securing Office 365 written by Matthew Katzer and published by Apress. This book was released on 2019-01-24 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand common security pitfalls and discover weak points in your organization’s data security, and what you can do to combat them. This book includes the best approaches to managing mobile devices both on your local network and outside the office. Data breaches, compliance fines, and distribution of personally identifiable information (PII) without encryption or safeguards place businesses of all types at risk. In today’s electronic world, you must have a secure digital footprint that is based on business processes that are designed to protect information. This book is written for business owners, chief information security officers (CISO), and IT managers who want to securely configure Office 365. You will follow the Microsoft cybersecurity road map through a progressive tutorial on how to configure the security services in Office 365 to protect and manage your business. What You’ll Learn Manage security with the Azure Security Center and the Office 365 Compliance Center Configure information protection for document and electronic communicationsMonitor security for your business in the cloudUnderstand Mobile Application Management (MAM) and Mobile Device Management (MDM) Prevent data loss in Office 365 Configure and manage the compliance manager tools for NIST and GDPR Who This Book Is For IT managers and compliance and cybersecurity officers who have responsibility for compliance and data security in their business

Convolutional neural networks and deep learning for crop improvement and production

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Publisher : Frontiers Media SA
ISBN 13 : 2832509363
Total Pages : 208 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Convolutional neural networks and deep learning for crop improvement and production by : Wanneng Yang

Download or read book Convolutional neural networks and deep learning for crop improvement and production written by Wanneng Yang and published by Frontiers Media SA. This book was released on 2023-01-04 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

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Publisher : Springer Nature
ISBN 13 : 3030139697
Total Pages : 461 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics by : Le Lu

Download or read book Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics written by Le Lu and published by Springer Nature. This book was released on 2019-09-19 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory. The book’s chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to organize a sizable collection of radiology findings from real clinical practice, allowing semantic similarity-based retrieval. The intended reader of this edited book is a professional engineer, scientist or a graduate student who is able to comprehend general concepts of image processing, computer vision and medical image analysis. They can apply computer science and mathematical principles into problem solving practices. It may be necessary to have a certain level of familiarity with a number of more advanced subjects: image formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured prediction and image segmentation.

Artificial Neural Networks and Machine Learning – ICANN 2018

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Publisher : Springer
ISBN 13 : 3030014215
Total Pages : 632 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2018 by : Věra Kůrková

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2018 written by Věra Kůrková and published by Springer. This book was released on 2018-09-25 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

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Publisher : Springer Nature
ISBN 13 : 3030487911
Total Pages : 630 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference by : Lazaros Iliadis

Download or read book Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference written by Lazaros Iliadis and published by Springer Nature. This book was released on 2020-05-27 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors. One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

Proceedings of the 5th International Conference on Building Energy and Environment

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Publisher : Springer Nature
ISBN 13 : 9811998221
Total Pages : 2933 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of the 5th International Conference on Building Energy and Environment by : Liangzhu Leon Wang

Download or read book Proceedings of the 5th International Conference on Building Energy and Environment written by Liangzhu Leon Wang and published by Springer Nature. This book was released on 2023-09-04 with total page 2933 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of selected papers from the 5th International Conference on Building Energy and Environment (COBEE2022), held in Montreal, Canada, in July 2022. The work focuses on the most recent technologies and knowledge of building energy and the environment, including health, energy, urban microclimate, smart cities, safety, etc. The contents make valuable contributions to academic researchers, engineers in the industry, and regulators of buildings. As well, readers encounter new ideas for achieving healthy, comfortable, energy-efficient, resilient, and safe buildings.

Universal Access in Human-Computer Interaction. Design Methods and User Experience

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Publisher : Springer Nature
ISBN 13 : 3030780929
Total Pages : 660 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Universal Access in Human-Computer Interaction. Design Methods and User Experience by : Margherita Antona

Download or read book Universal Access in Human-Computer Interaction. Design Methods and User Experience written by Margherita Antona and published by Springer Nature. This book was released on 2021-07-03 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the 15th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2021, held as part of the 23rd International Conference, HCI International 2021, held as a virtual event, in July 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. UAHCI 2021 includes a total of 84 papers; they focus on topics related to universal access methods, techniques and practices, studies on accessibility, design for all, usability, UX and technology acceptance, emotion and behavior recognition for universal access, accessible media, access to learning and education, as well universal access to virtual and intelligent assistive environments.