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The Architecture of Productive Learning Networks

The Architecture of Productive Learning Networks explores the characteristics of productive networked learning situations and, through a;

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The Architecture of Productive Learning Networks

The Architecture of Productive Learning Networks explores the characteristics of productive networked learning situations and, through a;

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Neural Networks for Complete Beginners

This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;

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

many fundamentals and essentials in neural networks (e.g., deep learning), as well as hardware implementation of neural networks. The book;

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Deep Learning on Edge Computing Devices

learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single;

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Tree-Based Convolutional Neural Networks

. TBCNNsare related to existing convolutional neural networks (CNNs) and recursive neural networks (RNNs), but they combine the merits of both: thanks;

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Visual Cortex and Deep Networks

A mathematical framework that describes learning of invariant representations in the ventral stream, offering both theoretical development;

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The Deep Learning with PyTorch Workshop

Get a head start in the world of AI and deep learning by developing your skills with PyTorch Key Features Learn how to define your own;

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AI for Computer Architecture

-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This book reviews the;

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Intelligent Sensor Networks

intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration;

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Intelligent Sensor Networks

intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration;

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Artificial Neural Networks with TensorFlow 2

Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the;

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Deep Learning Neural Networks

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving;

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Deep Learning Neural Networks

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving;

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Smart Dust

Sensor networks continue to grow in importance for modern communication networks. The fruit of recent efforts aimed at miniaturization and;

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Hands-On Neural Networks

learning and also understand what the future of AI could look like. Next, you will study how embeddings can be used to process textual data and the;

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The Deep Learning Workshop

Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition;

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PRICAI 2016: Trends in Artificial Intelligence

This book constitutes the refereed proceedings of the 14th Pacific Rim Conference on Artificial Intelligence, PRICAI 2016, held in Phuket;

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Architecture and Protocols for High-Speed Networks

Multimedia data streams will form a major part of the new generation of applications in high-speed networks. Continuous media streams;

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Broadband Cable TV Access Networks

-demand. Now, one of the field's leading experts reviews the technologies, protocols, applications associated with the CATV revolution, and;

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Converged Network Service Architecture

. Hence, the future depends on the success of combining old and new solutions to serve new customer needs. Thus, this book addresses Intelligent;

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Embedded Deep Learning

This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic;

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Learning Deep Learning

learning technique that in our experience has proven pivotal to success-asking the reader to think about using DL techniques in practice. His;

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Neurocomputing

execution on a GPU; EEG montages for the diagnosis of Alzheimer's disease; design and training of neural architectures using extreme learning;

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Implementing Sustainability Strategies in Networks and Clusters

This book investigates the dynamics of the management of sustainability in networks and clusters - an area of increasing importance that;

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