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| | Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
A comprehensive guide to advanced deep learning techniques, including autoencoders, GANs, VAEs, and deep reinforcement learning that drive today's most impressive AI results
Key Features
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Explore the most advanced deep learning techniques that drive modern AI results
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Handbook of Mathematical Models in Computer VisionDavid Marr's theory was a pioneering step towards understanding visual perception. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical... | | The Variational Bayes Method in Signal ProcessingThis is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a self-contained, self-learning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing... | | |
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| | Information Theory, Inference and Learning Algorithms"...a valuable reference...enjoyable and highly useful." American Scientist
"...an impressive book, intended as a class text on the subject of the title but having the character and robustness of a focused encyclopedia. The presentation is finely detailed, well documented, and stocked with artistic flourishes."... | | |
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The Theory of Composites"...there existed no book or review paper that would allow a newcomer to get a general knowledge of the state of the art. The book of Graeme Milton fills this gap, and it does the job in a splendid manner that will make it the reference book on composite materials for a long time." Mathematical Reviews
The theory... | | | | An Introduction to Partial Differential Equations"This is an introductory book on the subject of partial differential equations which is suitable for a large variety of basic courses on this topic. In particular, it can be used as a textbook or self-study book for large classes of readers with interests in mathematics, engineering, and related fields. Its usefulness stems from its clarity,... |
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