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Handbook of Deep Learning in Biomedical Engineering

Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high;

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Handbook of Deep Learning Applications

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a;

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Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;

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Handbook of Reinforcement Learning and Control

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory;

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Handbook on Neural Information Processing

Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple;

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Introduction to Deep Learning Business Applications for Developers

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples;

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Deep Learning Applications

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE;

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Deep Learning in Data Analytics

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various;

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Emerging Deep Learning Applications of Short Range Radars

This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book;

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Deep Learning for Data Analytics

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety;

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Deep Learning with Applications Using Python

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and;

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Deep Neural Networks and Applications

. Also discussed in the book is the optimization of deep learning for the best performance of e-learning data, the methodology and the research;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Deep Learning

Deep Learning provides an overview of general deep learning methodology and its applications to a variety of signal and information;

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Deep Learning on Edge Computing Devices

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are;

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Deep Learning for Hydrometeorology and Environmental Science

This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution;

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Deep Learning for Hydrometeorology and Environmental Science

This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Handbook of Deep Learning in Biomedical Engineering and Health Informatics: Biomedical Engineering

in biomedical deep learning systems Includes informative case studies that help to explain the new technologies;

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Handbook of Pattern Recognition and Computer Vision

(PRCV), fully reflecting the strong international research interests in the artificial intelligence arena.Machine learning has been the key to;

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Deep Learning and IoT in Healthcare Systems

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;

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Machine Learning Paradigms

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning;

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Python Deep Learning

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong;

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Deep Learning Applications Volume 2

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It;

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