Introduction to graph neural networks по низкой цене

Introduction to Graph Neural Networks (Turing Publishing, DeepSeek Tutorial)

Introduction to Graph Neural Networks (Turing Publishing, DeepSeek Tutorial)


Купить за 1340 RUR


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Deep Dive into Graph Neural Networks (GNN) Tutorial

Deep Dive into Graph Neural Networks (GNN) Tutorial


Купить за 1260 RUR


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PyTorch Deep Learning and Graph Neural Networks: Foundations (Vol 1)

PyTorch Deep Learning and Graph Neural Networks: Foundations (Vol 1)


Купить за 2200 RUR


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Gene Cheung Graph Spectral Image Processing

Gene Cheung Graph Spectral Image Processing


Купить за 15240.83 RUR

Graph spectral image processing is the study of imaging data from a graph frequency perspective. Modern image sensors capture a wide range of visual data including high spatial resolution/high bit-depth 2D images and videos, hyperspectral images, light field images and 3D point clouds. The field of
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Александр Чичулин Neural networks guide. Unleash the power of Neural Networks: the complete guide to understanding, Implementing AI

Александр Чичулин Neural networks guide. Unleash the power of Neural Networks: the complete guide to understanding, Implementing AI


Купить за 200 RUR

Explore the fascinating world of neural networks in this comprehensive and beginner-friendly guide. Learn how these powerful algorithms mimic the human brain, understand their components, and implement them using Python. Discover applications, ethical considerations, and stay updated with the
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Группа авторов Introduction to Neural Engineering for Motor Rehabilitation

Группа авторов Introduction to Neural Engineering for Motor Rehabilitation


Купить за 15348.85 RUR

Neural engineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, or treat diseases of neural systems. Currently, no book other than this one covers this broad range of topics within motor rehabilitation technology. With a focus on cutting edge technology,
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Anna Forster Introduction to Wireless Sensor Networks

Anna Forster Introduction to Wireless Sensor Networks


Купить за 11189.31 RUR

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
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Savo G. Glisic Artificial Intelligence and Quantum Computing for Advanced Wireless Networks

Savo G. Glisic Artificial Intelligence and Quantum Computing for Advanced Wireless Networks


Купить за 12821.31 RUR

ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING FOR ADVANCED WIRELESS NETWORKS A practical overview of the implementation of artificial intelligence and quantum computing technology in large-scale communication networks Increasingly dense and flexible wireless networks require the use of
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Falk  Schreiber Analysis of Biological Networks

Falk Schreiber Analysis of Biological Networks


Купить за 11822.96 RUR

An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book
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Группа авторов A Statistical Approach to Neural Networks for Pattern Recognition

Группа авторов A Statistical Approach to Neural Networks for Pattern Recognition


Купить за 12820.47 RUR

An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models.
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Jade Carter Neural Networks Beginnings

Jade Carter Neural Networks Beginnings


Купить за 490 RUR

The book is an excellent resource for those who want to get acquainted with the basics of neural networks and their application in life. The book explains in detail what a neuron is and how it works in a neural network, what weights and biases are, how a neuron makes decisions, and how a neural
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Nan Zheng Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Nan Zheng Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design


Купить за 13172.36 RUR

Explains current co-design and co-optimization methodologies for building hardware neural networks and algorithms for machine learning applications This book focuses on how to build energy-efficient hardware for neural networks with learning capabilities—and provides co-design and co-optimization
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