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application domains. This book provides a better understanding of the different directions in which research has been done on deep semantic analysis;
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third is object recognition, and the fourth and last involve the semantic interpretation of the image. The semantic gap is a challenging area;
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architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various;
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Performance Evaluation of Cloud Services evaluates various aspects of cloud services and its computing measures for various multi-tier;
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, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision;
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This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;
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Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially;
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DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial;
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object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data;
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, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision;
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Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces * Semantic modeling and rendering and shows how;
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object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data;
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recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to;
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Serverless computing is radically changing the way we build and deploy applications. With cloud providers running servers and managing;
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Web services, cloud computing, location based services, NoSQLdatabases, and Semantic Web offer new ways of accessing, analyzing, and;
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investigating other aspects of perception and cognition, such as word recognition, language comprehension, and knowledge representations. Semantic;
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investigating other aspects of perception and cognition, such as word recognition, language comprehension, and knowledge representations. Semantic;
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Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering;
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. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image;
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Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions;
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. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image;
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. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image;
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Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions;
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. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image;
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. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image;
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Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions;
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Semantic Segmentation; Dictionary Learning, Retrieval, and Clustering; Deep Learning; People Tracking and Action Recognition; People and Actions;
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