

  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

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 neurobiologists and complementary ideas from statistical...   The Variational Bayes Method in Signal ProcessingThis is the first booklength treatment of the Variational Bayes (VB) approximation in signal processing. It has been written as a selfcontained, selflearning guide for academic and industrial research groups in signal processing, data analysis, machine learning, identification and control. It reviews the VB distributional approximation, showing...   

  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."...   

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 selfstudy book for large classes of readers with interests in mathematics, engineering, and related fields. Its usefulness stems from its clarity,... 

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