Download or read book Bibliography of Experimental Rock Deformation Second Edition Part II written by Robert E. Riecker and published by . This book was released on 1965 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first supplement to the 'Bibliography of Experimental Rock Deformation, Second Edition, ' (AD-627 002) AFCRL-65-740, October 1965, lists 111 cross-referenced research articles taken from scientific journals and books. The listings include the following 29 categories: Apparatus, Brittle Behavior, Calcite, Calibration, Conductivity, Creep, Dislocations, Fabric, Friction, General, Ice, Marble, Olivine, Phase Studies, Quartz, Recrystallization, Resistance, Sedimentary Rocks, Seismic Velocities, Shear, Shock, Strain Rate, Surveys, Viscosity, and X-ray. (Author).

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Download or read book Reading Jonathan Edwards written by M.X. Lesser and published by Wm. B. Eerdmans Publishing. This book was released on 2008-02-13 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compilation of reader response to Jonathan Edwards, spanning 276 years, includes a reprint of two earlier works ? Jonathan Edwards: A Reference Guide (1981) and Jonathan Edwards: An Annotated Bibliography (1994) ? and the publication of a third, a gathering of commentary from 1994 to 2005. Nearly 140 essays have been added to the first and second works, while the last new gathering ? which includes a celebration of the tercentenary of Edwards??'s birth ? adds another 700 to the whole. The text preserves the pattern of arranging items alphabetically within a given year and of recording cross-references. Essays in a collection are annotated serially rather than alphabetically. Each of the three sections is self-contained with an introduction and annotated bibliography of its own. Adding to the immense value of this work to Edwards scholars are the chronology of Edwards??'s works, listed by date and by short and long title, which precedes the entire work, and the three comprehensive indexes ? of authors and titles, of subjects, and additions to the previous volumes.

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Download or read book Glacial Map of North America Part 2 Bibliography and Explanatory Notes written by Richard Foster Flint and published by Geological Society of America. This book was released on 1945 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Bibliography of Bibliographies unclassified Title Supplement written by Defense Documentation Center (U.S.) and published by . This book was released on 1963 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. 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 in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.