Deep learning adaptive computation and machine learning series на русском

Adaptive Computation and Machine Learning series

deep learning adaptive computation and machine learning series на русском

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in.


The goal of building systems that can adapt to their environments and learn from their experience has attracted researchers from many fields, including computer science, engineering, mathematics, physics, neuroscience, and cognitive science. Out of this research has come a wide variety of learning techniques, including methods for learning decision trees, decision rules, neural networks, statistical classifiers, and probabilistic graphical models. The researchers in these various areas have also produced several different theoretical frameworks for understanding these methods, such as computational learning theory, Bayesian learning theory, classical statistical theory, minimum description length theory, and statistical mechanics approaches. These theories provide insight into experimental results and help to guide the development of improved learning algorithms. A goal of the series is to promote the unification of the many diverse strands of machine learning research and to foster high quality research and innovative applications. This series will publish works of the highest quality that advance the understanding and practical application of machine learning and adaptive computation. Research monographs, introductory and advanced level textbooks, how-to books for practitioners will all be considered.

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Ian Goodfellow - Numerical Computation for Deep Learning - AI With The Best Oct 14-15, 2017

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The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. The deep learning textbook can now be ordered on Amazon. For up to date announcements, join our mailing list. To write your own document using our LaTeX style, math notation, or to copy our notation page, download our template files.






5 thoughts on “Deep learning adaptive computation and machine learning series на русском

  1. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and.

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