Neural Nets Wirn10

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Neural Networks in Unity

Author : Abhishek Nandy,Manisha Biswas
Publisher : Apress
Page : 166 pages
File Size : 41,7 Mb
Release : 2018-07-14
Category : Computers
ISBN : 9781484236734

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Neural Networks in Unity by Abhishek Nandy,Manisha Biswas Pdf

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.

Neural Nets WIRN10

Author : Bruno Apolloni
Publisher : IOS Press
Page : 348 pages
File Size : 41,5 Mb
Release : 2011
Category : Computers
ISBN : 9781607506911

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Neural Nets WIRN10 by Bruno Apolloni Pdf

Artificial Neural Networks - ICANN 2008

Author : Věra Kůrková
Publisher : Springer Science & Business Media
Page : 1012 pages
File Size : 51,5 Mb
Release : 2008
Category : Artificial intelligence
ISBN : 9783540875581

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Artificial Neural Networks - ICANN 2008 by Věra Kůrková Pdf

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.

RoboCup 2005: Robot Soccer World Cup IX

Author : Ansgar Bredenfeld,Adam Jacoff,Itsuki Noda,Yasutake Takahashi
Publisher : Springer
Page : 734 pages
File Size : 45,8 Mb
Release : 2006-06-25
Category : Technology & Engineering
ISBN : 9783540354383

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RoboCup 2005: Robot Soccer World Cup IX by Ansgar Bredenfeld,Adam Jacoff,Itsuki Noda,Yasutake Takahashi Pdf

This book constitutes the ninth official archival publication devoted to RoboCup, documenting presentations at the RoboCup 2005 International Symposium, held in Osaka, Japan, July 2005 alongside the RoboCup Competition. The book presents 34 revised full papers and 38 revised short papers together with two award-winning papers. This is a valuable source of reference and inspiration for those interested in robotics or distributed intelligence, and mandatory reading for the rapidly growing RoboCup community.

Memristor and Memristive Neural Networks

Author : Alex James
Publisher : BoD – Books on Demand
Page : 326 pages
File Size : 54,6 Mb
Release : 2018-04-04
Category : Computers
ISBN : 9789535139478

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Memristor and Memristive Neural Networks by Alex James Pdf

This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.

Artificial Neural Networks and Machine Learning – ICANN 2021

Author : Igor Farkaš,Paolo Masulli,Sebastian Otte,Stefan Wermter
Publisher : Springer Nature
Page : 705 pages
File Size : 54,5 Mb
Release : 2021-09-10
Category : Computers
ISBN : 9783030863838

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Artificial Neural Networks and Machine Learning – ICANN 2021 by Igor Farkaš,Paolo Masulli,Sebastian Otte,Stefan Wermter Pdf

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.

Engineering Applications of Neural Networks

Author : Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne
Publisher : Springer
Page : 532 pages
File Size : 47,9 Mb
Release : 2013-09-25
Category : Computers
ISBN : 9783642410130

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Engineering Applications of Neural Networks by Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne Pdf

The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.

Neural Nets WIRN VIETRI-98

Author : Maria Marinaro,Roberto Tagliaferri
Publisher : Springer Science & Business Media
Page : 389 pages
File Size : 55,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447108115

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Neural Nets WIRN VIETRI-98 by Maria Marinaro,Roberto Tagliaferri Pdf

From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.

Advances in Neural Networks - ISNN 2005

Author : Jun Wang,Xiaofeng Liao
Publisher : Springer Science & Business Media
Page : 1123 pages
File Size : 48,5 Mb
Release : 2005-05-17
Category : Computers
ISBN : 9783540259145

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Advances in Neural Networks - ISNN 2005 by Jun Wang,Xiaofeng Liao Pdf

This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30–June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China.

Deep Learning on Windows

Author : Thimira Amaratunga
Publisher : Apress
Page : 235 pages
File Size : 42,6 Mb
Release : 2021-02-25
Category : Computers
ISBN : 1484264304

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Deep Learning on Windows by Thimira Amaratunga Pdf

Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and troubleshoot them. Here, you will learn how Python can help you build deep learning models on Windows. Moving forward, you will build a deep learning model and understand the internal workings of a convolutional neural network on Windows. Further, you will go through different ways to visualize the internal workings of deep learning models along with an understanding of transfer learning where you will learn how to build a model architecture and use data augmentations. Next, you will manage and train deep learning models on Windows before deploying your application as a web application. You’ll also do some basic image processing and work with computer vision options that will help you build various applications with deep learning. Finally, you will use generative adversarial networks along with reinforcement learning. After reading Deep Learning on Windows, you will be able to design deep learning models and web applications on the Windows operating system. What You Will Learn Get deep learning tools working on Microsoft Windows Understand model visualization techniques, such as the built-in plot_model function of Keras and third-party visualization tools Build a robust training script Convert your deep learning model into a web application Generate handwritten digits with DCGAN (deep convolutional generative adversarial network) Understand the basics of reinforcement learning Who This Book Is For AI developers and enthusiasts wanting to work on the Windows platform.

Neural Nets WIRN Vietri-01

Author : Roberto Tagliaferri,Maria Marinaro
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447102199

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Neural Nets WIRN Vietri-01 by Roberto Tagliaferri,Maria Marinaro Pdf

This volume contains the proceedings of the 12th Italian Workshop on Neural Nets WIRN VIETRI-Ol, jointly organized by the International Institute for Advanced Scientific Studies "Eduardo R. Caianiello" (IIASS), the Societa Italiana Reti Neuroniche (SIREN), the IEEE NNC Italian RIG and the Italian SIG of the INNS. Following the tradition of previous years, we invited three foreign scientists to the workshop, Dr. G. Indiveri and Professors A. Roy and R. Sun, who respectively presented the lectures "Computation in Neuromorphic Analog VLSI Systems", "On Connectionism and Rule Extraction", "Beyond Simple Rule Extraction: Acquiring Planning Knowledge from Neural Networks" (the last two papers being part of the special session mentioned below). In addition, a review talk was presented, dealing with a very up-to-date topic: "NeuroJuzzy Approximator based on Mamdani's Model". A large part of the book contains original contributions approved by referees as oral or poster presentations, which have been assembled for reading convenience into three sections: Architectures and Algorithms, Image and Signal Processing, and Applications. The last part of the books contains the papers of the special Session "From Synapses to Rules". Our thanks go to Prof. B. Apolloni, who organized this section. Furthermore, two sections are dedicated to the memory of two great scientists who were friends in life, Professors Mark Aizerman and Eduardo R. Caianiello. The editors would like to thank the invited speakers, the review lecturers and all the contributors whose highly qualified papers helped with the success of the workshop.

Artificial Neural Networks - ICANN 2001

Author : Georg Dorffner
Publisher : Springer Science & Business Media
Page : 1248 pages
File Size : 47,5 Mb
Release : 2001-08-13
Category : Computers
ISBN : 9783540424864

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Artificial Neural Networks - ICANN 2001 by Georg Dorffner Pdf

This book constitutes the refereed proceedings of the International Conference on Artificial Neural Networks,ICANN 2001, held in Vienna, Austria in August 2001. The 171 revised papers presented together with three invited contributions were carefully reviewed and selected from around 300 submissions. The papers are organized in topical sections on data analysis and pattern recognition, theory, kernel methods, topographic mapping, independent component analysis, signal processing, time series processing, agent-based economic modeling, selforganization and dynamical systems, robotics and control, vision and image processing, computational neuroscience, and connectionist and cognitive science.

Advances in Neural Networks -- ISNN 2010

Author : James Kwok,Liqing Zhang,Bao-Liang Lu
Publisher : Springer Science & Business Media
Page : 670 pages
File Size : 41,5 Mb
Release : 2010-05-20
Category : Computers
ISBN : 9783642133176

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Advances in Neural Networks -- ISNN 2010 by James Kwok,Liqing Zhang,Bao-Liang Lu Pdf

This book and its sister volume constitute the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9, 2010. The 170 revised full papers of Part I and Part II were carefully selected from 591 submissions and focus on topics such as SVM and Kernel Methods, Vision and Image, Data Mining and Text Analysis, BCI and Brain Imaging and its applications. The first volume, Part I (LNCS 6063) covers the following topics: Neuropysiological Foundation, Theory and Models, Learning and Inference, and Nerodynamics.

Advances in Neural Networks – ISNN 2019

Author : Huchuan Lu,Huajin Tang,Zhanshan Wang
Publisher : Springer
Page : 630 pages
File Size : 46,6 Mb
Release : 2019-06-26
Category : Computers
ISBN : 9783030228088

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Advances in Neural Networks – ISNN 2019 by Huchuan Lu,Huajin Tang,Zhanshan Wang Pdf

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.

Speech Processing, Recognition and Artificial Neural Networks

Author : Gerard Chollet,Maria-Gabriella Di Benedetto,Anna Esposito,Maria Marinaro
Publisher : Springer Science & Business Media
Page : 352 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447108450

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Speech Processing, Recognition and Artificial Neural Networks by Gerard Chollet,Maria-Gabriella Di Benedetto,Anna Esposito,Maria Marinaro Pdf

Speech Processing, Recognition and Artificial Neural Networks contains papers from leading researchers and selected students, discussing the experiments, theories and perspectives of acoustic phonetics as well as the latest techniques in the field of spe ech science and technology. Topics covered in this book include; Fundamentals of Speech Analysis and Perceptron; Speech Processing; Stochastic Models for Speech; Auditory and Neural Network Models for Speech; Task-Oriented Applications of Automatic Speech Recognition and Synthesis.