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This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;
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This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;
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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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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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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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these help researchers motivate towards learning and implementing the concepts in real-life applications.;
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Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning;
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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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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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Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and;
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real world of biomedical engineering and data science, including Deep Learning networks, deep feature learning, deep learning toolboxes;
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intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core;
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intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core;
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This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic;
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-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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, 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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> Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications;
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in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection;
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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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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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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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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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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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, 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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Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image;
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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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Build automatic classification and prediction models using unsupervised learning About This Book * Harness the ability to build;
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