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Understanding 99% of Artificial Neural Networks

Understanding 99% of Artificial Neural Networks
Author: Marcelo Bosque
Publisher: iUniverse
Total Pages: 0
Release: 2002
Genre: Computers
ISBN: 147590469X

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An easy to read guide to understand Artificial Neural Networks and other Artificial Intelligence subjects. We have made it EASY, CONCISE and PRACTICAL for you.


Humanizing Artificial Intelligence

Humanizing Artificial Intelligence
Author: Luca M. Possati
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 116
Release: 2023-10-04
Genre: Computers
ISBN: 3111007561

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What does humankind expect from AI? What kind of relationship between man and intelligent machine are we aiming for? Does an AI need to be able to recognize human unconscious dynamics to act for the "best" of humans—that "best" that not even humans can clearly define? Humanizing AI analyses AI and its numerous applications from a psychoanalytical point of view to answer these questions. This important, interdisciplinary contribution to the social sciences, as applied to AI, shows that reflecting on AI means reflecting on the human psyche and personality; therefore conceiving AI as a process of deconstruction and reconstruction of human identity. AI gives rise to processes of identification and de-identification that are not simply extensions of human identities—as post-humanist or trans-humanist approaches believe—but completely new forms of identification. Humanizing AI will benefit a broad audience: undergraduates, postgraduates and teachers in sociology, social theory, science and technology studies, cultural studies, philosophy, social psychology, and international relations. It will also appeal to programmers, software designers, students, and professionals in the sciences.


Supply Chain Management Strategies and Methodologies

Supply Chain Management Strategies and Methodologies
Author: Jorge Luis García Alcaraz
Publisher: Springer Nature
Total Pages: 503
Release: 2023-06-02
Genre: Business & Economics
ISBN: 3031320328

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This book showcases the successful practices of manufacturing companies in Latin America, highlighting the strategies and technologies they have implemented to produce high-quality products and remain competitive in the market. Divided into three parts, the book covers various aspects of the manufacturing process. Part I presents methodologies and strategies for demand forecasting and raw material procurement, providing insights into how companies are meeting their production needs and managing costs. Part II focuses on methodologies and strategies applied in the production process, exploring the various techniques and practices that companies are utilizing to optimize their manufacturing operations. Finally, Part III lists methodologies and strategies applied to product distribution, demonstrating how companies are delivering their products to market efficiently and effectively. Overall, this book provides a comprehensive overview of the best practices being employed by successful manufacturing companies in Latin America, offering valuable insights for businesses looking to improve their manufacturing processes and remain competitive in today's market.


Multivariate Statistical Machine Learning Methods for Genomic Prediction

Multivariate Statistical Machine Learning Methods for Genomic Prediction
Author: Osval Antonio Montesinos López
Publisher: Springer Nature
Total Pages: 707
Release: 2022-02-14
Genre: Technology & Engineering
ISBN: 3030890104

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This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.


Mine - Book Five And Book Six - Mine To Protect - Mine To Consume + *BONUS* Book Seven: Mine To Crave

Mine - Book Five And Book Six - Mine To Protect - Mine To Consume + *BONUS* Book Seven: Mine To Crave
Author: Lia Fox
Publisher: Lia Fox
Total Pages: 150
Release: 2024-07-04
Genre: Fiction
ISBN:

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A sweet short quick read steamy romance - this is instalove with curvy beautiful woman and their hot sexy alpha men - funny OTT insta-love and always a happy ever after ending...! Book Five - Mine To Protect - Chloe: In the cutthroat world of cyber espionage, I've cracked the code. My new program could be the ultimate weapon in helping our intelligence agencies. But my creation is under fire, my boss is filled with ruthless ambition and out to claim my success as his own. In fact, there's no telling what lengths he'll go to. I find myself turning to: Hank - security with a capital "S" and built like a brick wall, with a heart as big as his biceps. And beneath his gruff exterior, possibly, lies a secret fondness for a tech whiz with curves (ahem, that's me, I think). Hank swoops in to bring a whole new level of security to my world - he's got my back, my front, my server and, quite likely, my Wi-Fi password - which I'm okay with. The real question is, can Hank safeguard and decode the mystery of my heart...? * Book Six - Mine To Consume - Louisa: The Society for The Prevention of Cruelty To Animals was going to be pissed - it was raining so heavily cats and dogs literally fell from the sky. Ugh, this rain just won't let up - the story of my life, dark clouds and emotional thunderstorms, just one endless downpour of bad luck. Enter Max, my unexpected sexy, hunky hero with a heart as big as his, um, umbrella...? He not only shields me from the storm but also sweeps me off my feet. Can Max be the ray of sunshine I've been longing for? Baton down the hatches, because this is a whirlwind romance where love is about as predictable as the weather...! *BONUS BOOK* Book Seven - Mine To Crave - Kelly: My life was mostly flour and sugar and sweet treats - but only because I bake. Then bam! Kane Castle - a reclusive, world famous photographer disguised as a ridiculously handsome, incredibly rugged-looking man - waltzed into my life. He was everything that I wasn't - worldly, daring, confident. I was apron-clad and most days elbow-deep in flour. One disastrous eclair incident and our hearts were on a collision course. The only question is, will our love story be a recipe for disaster or the sweetest surprise ever tasted? If you love funny, short, uplifting curvy woman romances with hot, steamy sex scenes then you’ll more than love the MINE series - oh, and Lia always writes with a happy ever after ending...! Enjoy...! Lia. The Series & Available Now: BOOK ONE: MINE TO OWN & MINE TO POSSESS BOOK TWO: MINE TO KEEP & MINE TO ADORE BOOK THREE: MINE TO PROTECT & MINE TO CONSUME - Plus *BONUS* - MINE TO CRAVE Keywords: age, gap, age-gap, an, and, bad, BBW, best, big, biker, boy, brother's, by, claimed, claiming, daddy, fat, first, for, friend, funny, grumpy, guy, HEA, her, his, hope, humorous, hunky, insta, love, luscious, male, man, mature, my, older, plus size, possessive, protector, romance, romances, sassy, scenes, sex, small, story, sweet, taken, tattoo, tattooed, tattooed, the, time, top, town, virgin, women, younger, fiction, book, stories, voluptuous, plump, quick, read, instalust, at first sight


Artificial Neural Networks

Artificial Neural Networks
Author: Kevin L. Priddy
Publisher: SPIE Press
Total Pages: 184
Release: 2005
Genre: Computers
ISBN: 9780819459879

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This tutorial text provides the reader with an understanding of artificial neural networks (ANNs), and their application, beginning with the biological systems which inspired them, through the learning methods that have been developed, and the data collection processes, to the many ways ANNs are being used today. The material is presented with a minimum of math (although the mathematical details are included in the appendices for interested readers), and with a maximum of hands-on experience. All specialized terms are included in a glossary. The result is a highly readable text that will teach the engineer the guiding principles necessary to use and apply artificial neural networks.


Neural Information Processing

Neural Information Processing
Author: Minho Lee
Publisher: Springer
Total Pages: 655
Release: 2013-10-29
Genre: Computers
ISBN: 3642420516

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The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.


Neural Networks

Neural Networks
Author: Steven Cooper
Publisher: Roland Bind
Total Pages: 82
Release: 2018-11-06
Genre: Computers
ISBN:

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☆★The Best Neural Networks Book for Beginners★☆ If you are looking for a complete beginners guide to learn neural networks with examples, in just a few hours, then you need to continue reading. Have you noticed the increasing prevalence of software that tries to learn from you? More and more, we are interacting with machines and platforms that try to predict what we are looking for. From movie and television show recommendations on Netflix based on your taste to the keyboard on your smartphone trying to predict and recommend the next word you may want to type, it's becoming obvious that machine learning will definitely be part of our future. If you are interested in learning more about the computer programs of tomorrow then, Understanding Neural Networks – A Practical Guide for Understanding and Programming Neural Networks and Useful Insights for Inspiring Reinvention is the book you have been waiting for. ★★ Grab your copy today and learn ★★ ♦ The history of neural networks and the way modern neural networks work ♦ How deep learning works ♦ The different types of neural networks ♦ The ability to explain a neural network to others, while simultaneously being able to build on this knowledge without being COMPLETELY LOST ♦ How to build your own neural network! ♦ An effective technique for hacking into a neural network ♦ Some introductory advice for modifying parameters in the code-based environment ♦ And much more... You'll be an Einstein in no time! And even if you are already up to speed on the topic, this book has the power to illustrate what a neural network is in a way that is capable of inspiring new approaches and technical improvements. The world can't wait to see what you can do! Most of all, this book will feed the abstract reasoning region of your mind so that you are able to theorize and invent new types and styles of machine learning. So, what are you waiting for? Scroll up and click the buy now button to learn everything you need to know in no time!


Fundamentals of Artificial Neural Networks

Fundamentals of Artificial Neural Networks
Author: Mohamad H. Hassoun
Publisher: MIT Press
Total Pages: 546
Release: 1995
Genre: Computers
ISBN: 9780262082396

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A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.