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Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI, Pethuru Raj, Satya Prakash Yadav, Victor Hugo C. de Albuquerque


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Цена: 172320.00T
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Автор: Pethuru Raj, Satya Prakash Yadav, Victor Hugo C. de Albuquerque
Название:  Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI
ISBN: 9783111324166
Издательство: Walter de Gruyter
Классификация: ISBN-10: 3111324168
Обложка/Формат: Digital (delivered electronically)
Страницы: 423
Вес: 0.00 кг.
Дата издания: 06.11.2023
Язык: English
Ключевые слова: Artificial intelligence,Computer networking & communications,Information technology: general issues, COMPUTERS / Artificial Intelligence / General,COMPUTERS / General,COMPUTERS / Human-Computer Interaction (HCI),COMPUTERS / Information Technology
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Поставляется из: Германии
Описание:

Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry.

The book

presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments,

articulates and accentuates the most recent developments taking place in the

domain of Artifi cial Intelligence,

covers the noteworthy innovations and disruptions towards Generative Artifi cial

Intelligence (Generative AI),

explains the breakthrough innovations and disruptions towards Artifi cial General

Intelligence (AGI)

and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.



Generative Collaboration: Releasing the Creative Power of Collective Intelligence

Автор: Dilts Robert Brian
Название: Generative Collaboration: Releasing the Creative Power of Collective Intelligence
ISBN: 0996200428 ISBN-13(EAN): 9780996200424
Издательство: Неизвестно
Цена: 49760.00 T
Наличие на складе: Ожидается поступление.

Generative Knowing: Principles, Methods, and Dispositions of an Emerging Adult Learning Theory

Автор: Aliki Nicolaides
Название: Generative Knowing: Principles, Methods, and Dispositions of an Emerging Adult Learning Theory
ISBN: 1975503996 ISBN-13(EAN): 9781975503994
Издательство: Mare Nostrum (Eurospan)
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Цена: 34230.00 T
Наличие на складе: Нет в наличии.
Описание: Rearview Funhouse is a collection of poems that seeks to put the spectacle of loss and what comes after on vibrant and aching display, asking the reader to consider -or reconsider - the ways that we collectively process loss and the expectations we place on the grieving.

Generative Adversarial Networks and Deep Learning Theory and Applications

Автор: Edited By Roshani Raut, Pranav D Pathak, Sachin R
Название: Generative Adversarial Networks and Deep Learning Theory and Applications
ISBN: 1032068108 ISBN-13(EAN): 9781032068107
Издательство: Taylor&Francis
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Цена: 153120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications.

Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc. Features:Presents a comprehensive guide on how to use GAN for images and videos.

Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning. The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum


Advances in Deep Generative Models for Medical Artificial Intelligence

Автор: Ali
Название: Advances in Deep Generative Models for Medical Artificial Intelligence
ISBN: 3031463412 ISBN-13(EAN): 9783031463419
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Нет в наличии.

Advances in Deep Generative Models for Medical Artificial Intelligence

Автор: Ali
Название: Advances in Deep Generative Models for Medical Artificial Intelligence
ISBN: 3031463404 ISBN-13(EAN): 9783031463402
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Generative ai in practice

Автор: Marr, Bernard (advanced Performance Institute, Buckinghamshire, Uk)
Название: Generative ai in practice
ISBN: 1394245564 ISBN-13(EAN): 9781394245567
Издательство: Wiley
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Цена: 31670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Generative AI: Navigating the Course to the Artificial General Intelligence Future

Автор: Musiol
Название: Generative AI: Navigating the Course to the Artificial General Intelligence Future
ISBN: 1394205910 ISBN-13(EAN): 9781394205912
Издательство: Wiley
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Цена: 24280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Generative AI Models

Автор: Jovan Pehcevski
Название: Generative AI Models
ISBN: 1774699206 ISBN-13(EAN): 9781774699201
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 167200.00 T
Наличие на складе: Нет в наличии.
Описание: The generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models.

Generative Artificial Intelligence

Автор: Jerry Kaplan
Название: Generative Artificial Intelligence
ISBN: 0197773540 ISBN-13(EAN): 9780197773543
Издательство: Oxford Academ
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Цена: 13720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Hands-On Generative Adversarial Networks with PyTorch 1.x

Автор: Hany John, Walters Greg
Название: Hands-On Generative Adversarial Networks with PyTorch 1.x
ISBN: 1789530512 ISBN-13(EAN): 9781789530513
Издательство: Неизвестно
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Цена: 53940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.

The Informational Complexity of Learning

Автор: Partha Niyogi
Название: The Informational Complexity of Learning
ISBN: 0792380819 ISBN-13(EAN): 9780792380818
Издательство: Springer
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Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This work seeks to bridge the gap between two learning problems within the same analytical framework. The first concerns the problem of learning functional mappings using neural networks, followed by learning natural language grammars in the principles and parameters tradition of Chomsky.

The Informational Complexity of Learning

Автор: Partha Niyogi
Название: The Informational Complexity of Learning
ISBN: 1461374936 ISBN-13(EAN): 9781461374930
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Among other topics, The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar brings together two important but very different learning problems within the same analytical framework.


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