The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners
One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th Anniversary Edition includes a new Introduction and Afterword from the authors set
Deep Learning (Adaptive Computation and Machine Learning series) Ian Goodfellow is Research Scientist at OpenAI. Yoshua Bengio is Professor of Computer Science at the Université de Montréal. Aaron Courville is Assistant Professor of Computer Science
Results of Feynman and others have shown that the quantum for- malism permits a closed, microscopic, and locally interacting system to perform deterministic serial computation. In this paper we show that this formalism can also describe deterministi
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