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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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Advanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;

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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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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining;

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Mastering OpenCV 4 with Python

tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples;

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Deep Learning in Data Analytics

these help researchers motivate towards learning and implementing the concepts in real-life applications.;

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Applications of Artificial Intelligence and Machine Learning

Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning;

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Practical Machine Learning and Image Processing

real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for;

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Practical Machine Learning and Image Processing

time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real;

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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 Learning for Data Analytics

real world of biomedical engineering and data science, including Deep Learning networks, deep feature learning, deep learning toolboxes;

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International Conference on Artificial Intelligence Advances and Applications 2

intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core;

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International Conference on Artificial Intelligence: Advances and Applications 2019

intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core;

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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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Handbook of Deep Learning in Biomedical Engineering

-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and;

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Deep Learning for Vision Systems

, and much, much more. Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL;

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Deep Learning on Edge Computing Devices

> Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications;

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Data Science and Its Applications

in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection;

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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 Applications

solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for;

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R Deep Learning Projects

5 real-world projects to help you master deep learning concepts Key Features Master the different deep learning paradigms and build real;

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Angular and Deep Learning Pocket Primer

learning. The first three chapters of this book contain a short tour of basic Angular functionality, such as UI components and forms in Angular;

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Deep Learning

, machine learning, and natural language processing through diagrams, source code, and real-world applications * This step-by-step guide will help;

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Deep Learning with R

Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image;

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Robust Representation for Data Analytics

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world;

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R Deep Learning Essentials

Build automatic classification and prediction models using unsupervised learning About This Book * Harness the ability to build;

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