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machine learning, the choices of frameworks for deep learning, and the Keras ecosystem. You will cover a real-life business problem that can be;
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Features Work through projects covering mobile vision, style transfer, speech processing, and multimedia processing Cover interesting deep learning;
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A survey of Italian baroque art and architecture. In three volumes, it focuses on the arts in every ;...
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. Structured on a temporal axis-Past, Present and Future-the reviews and selected study cases cover the cold and deep coral habitats known to date;
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respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe;
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in het aannemen van valse identiteiten. Tijdens zijn lange carrière als deep-cover specialst heeft hij zicht voor meer dan tweehonderd verschillende;
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Using a great variety of methodologies and sources, the authors provide richly documented case studies which cover a wide geographical area;
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When the snow thaws on London's Hampstead Heath after a harsh winter, a ghoulish discovery is made t;...
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neural networks to extract sophisticated vector representations of words, before going on to cover various types of recurrent networks, such as;
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respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe;
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When a Soviet-era KGB agent who has been living quietly under deep cover in the United States, code-named Parsifal, is given orders to;
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Ambient Applications. Some of the topics will cover industrial issues/applications and academic research into intelligent computing. 2. Deep;
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The third tense and compelling thriller to feature The Watchman - deep cover specialist Marc Portman Marc Portman, codename Watchman;
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Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch Key Features Internals and principles of PyTorch;
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will cover concepts relating to tuning and optimizing models. Style and approach This book takes a practical approach to showing you the;
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Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation;
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, discovering topics in text collections, and classifying images. Finally, you'll cover sales forecasting with deep learning and autoregression, before;
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