Introduction to Hybrid Intelligent Networks, Zhi-Hong Guan; Bin Hu; Xuemin (Sherman) Shen
Автор: Ronald R. Yager; Lotfi A. Zadeh Название: An Introduction to Fuzzy Logic Applications in Intelligent Systems ISBN: 1461366194 ISBN-13(EAN): 9781461366195 Издательство: Springer Рейтинг: Цена: 24392.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook.
Автор: Bestaoui Sebbane, Yasmina (universite D`evry, France) Название: Introduction to the intelligent autonomy of uavs ISBN: 113856849X ISBN-13(EAN): 9781138568495 Издательство: Taylor&Francis Рейтинг: Цена: 20671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an approach to the formulation of the fundamental task typical to any mission and provides guidelines of how this task can be solved by different generic robotic problems. It aims to provide a systems engineering approach to UAV projects, discovering the real problems that need to be resolved independently of the application.
Автор: Frster Anna Название: Introduction to Wireless Sensor Networks ISBN: 1118993519 ISBN-13(EAN): 9781118993514 Издательство: Wiley Рейтинг: Цена: 16149.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores real-world wireless sensor network development, deployment, and applications
Presents state-of-the-art protocols and algorithms
Includes end-of-chapter summaries, exercises, and references
For students, there are hardware overviews, reading links, programming examples, and tests available at website]
For Instructors, there are PowerPoint slides and solutions available at website]
Автор: Fabio Fagnani; Paolo Frasca Название: Introduction to Averaging Dynamics over Networks ISBN: 3319680218 ISBN-13(EAN): 9783319680217 Издательство: Springer Рейтинг: Цена: 13415.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent systems.
If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading.
This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies which show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley.
This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible.
Grab your copy today and learn:
Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google.
The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems.
The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it.
The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for integration of various systems via an artificial intelligence system, which is already being used for the home and car functions.
And much more...
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch.
When data science can reduce spending costs by billions of dollars in our economy, why wait to jump in?
If you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue reading.
This book delves into the basics of deep learning for those who are enthusiasts concerning all things machine learning and artificial intelligence. For those who have seen movies that show computer systems taking over the world like, Terminator, or benevolent systems that watch over the population, i.e. Person of Interest, this should be right up your alley.
This book will give you the basics of what deep learning entails. That means frameworks used by coders and significant components and tools used in deep learning, that enable facial recognition, speech recognition, and virtual assistance. Yes, deep learning provides the tools through which systems like Siri became possible.
Grab your copy today and learn:
Deep learning utilizes frameworks that allow people to develop tools that are able to offer better abstraction, along with simplification of hard programming issues. TensorFlow is the most popular tool and is used by corporate giants such as Airbus, Twitter, and even Google.
The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook. Facebook illustrates Caffe2 as one of the lightweight and modular deep learning frameworks, though TensorFlow is the most popular one, considering it has a lot of popularity, and thus, a big forum, which allows for assistance on main problems.
The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders. These algorithms create the building blocks which propel deep learning and advance it.
The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity. The Internet of Things is also represented here, as deep learning allows for integration of various systems via an artificial intelligence system, which is already being used for the home and car functions.
And much more...
The use of data science adds a lot of value to businesses, and we will continue to see the need for data scientists grow.
This book is probably one of the best books for beginners. It's a step-by-step guide for any person who wants to start learning deep learning and artificial intelligence from scratch.
When data science can reduce spending costs by billions of dollars in our economy, why wait to jump in?
Описание: This book sets out to provide state-of-the art advice on Quality of Service (QoS) and Quality of Experience (QoE) in Universal Mobile Telecommunications (UMTS) networks. The approach is comprehensive, tackling mobile service planning, provisioning, performance monitoring and optimization issues in a single, accessible resource.
Автор: Miroslav Kubat Название: An Introduction to Machine Learning ISBN: 3319348868 ISBN-13(EAN): 9783319348865 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
