This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's tradi...(展开全部)

Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us. Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'l...(展开全部)

Professor Ziman's classic textbook on the theory of solids was first pulished in 1964. This paperback edition is a reprint of the second edition, which was substantially revised and enlarged in 1972. The value and popularity of this textbook is well attested by reviewers' opinions and by the existence of several foreign language editions, including German, Italian, Spanish, Jap...(展开全部)

Professor Ziman's classic textbook on the theory of solids was first pulished in 1964. This paperback edition is a reprint of the second edition, which was substantially revised and enlarged in 1972. The value and popularity of this textbook is well attested by reviewers' opinions and by the existence of several foreign language editions, including German, Italian, Spanish, Jap...(展开全部)

How deep learning -- from Google Translate to driverless cars to personal cognitive assistants -- is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormus profits from automated trading on the New York Stock Exchang...(展开全部)

How deep learning -- from Google Translate to driverless cars to personal cognitive assistants -- is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormus profits from automated trading on the New York Stock Exchang...(展开全部)

Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in P...(展开全部)

In this classic treatise, a complete physical picture of quantum theory, the Nobel Laureate covers not only his own far-reaching contributions to quantum theory, but also those of Dirac, Schroedinger, Compton, Wilson, Einstein and others. "An authoritative statement of Heisenberg's views on this aspect of the quantum theory."

In this classic treatise, a complete physical picture of quantum theory, the Nobel Laureate covers not only his own far-reaching contributions to quantum theory, but also those of Dirac, Schroedinger, Compton, Wilson, Einstein and others. "An authoritative statement of Heisenberg's views on this aspect of the quantum theory."

Deep Learning ist eine Form des Machine Learnings, die Computer in die Lage versetzt, aus Erfahrungen zu lernen und so die Welt als miteinander verbundene Ansammlung von hierarchischen Konzepten zu begreifen. Da der Computer Wissen aus der eigenen Erfahrung sammelt, muss kein Mensch mehr alle benötigten Kenntnisse formal eingeben. Die Hierarchie der Konzepte ermöglicht dem Comp...(展开全部)