Patna: K.P. Jayaswal Research Institute, 1993. 536p. (E.)
Sinha, C.P. (Ed.) سنچا سی پی
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TensorFlow, the open source software library developed by the Google Brain team, is a framework for building deep-learning neural networks. It is also considered one of the best ways to build in-depth learning models by people learning by machine, around the world. In deep learning models, which rely on a lot of data and computer resources, TensorFlow is used considerably.
Given its flexible architecture for easy deployment on different platforms such as CPUs, GPUs, and TPUs, TensorFlow remains one of the favorite libraries to get into ML. The huge popularity also means that tech enthusiasts are constantly looking to learn more and work more with this library. Although many tutorials, books, projects, videos, white papers, and other resources are available, we offer you these 10 free resources to get started with TensorFlow and get your concepts clear. The list is not in a specific order.
Representation in Cognitive Science
by Nicholas Shea
Publisher: Oxford University Press 2018
ISBN-13: 9780198812883
Number of pages: 305
Description:
Drawing on this cutting-edge research, Nicholas Shea uses a series of case studies from the cognitive sciences to develop a naturalistic account of the nature of mental representation. His approach is distinctive in focusing firmly on the ‘subpersonal’ representations that pervade so much of cognitive science.
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Computability, Unsolvability, Randomness
by Stephen G. Simpson
Publisher: The Pennsylvania State University 2009
Number of pages: 151
Description:
I exposit Turing’s 1936 theory of computability and unsolvability, as subsequently developed by Kleene and Post. This theory is of the essence in theoretical computer science and in the study of unsolvable mathematical problems. Second, I provide an introductory account of a research area which is currently very active: algorithmic randomness and Kolmogorov complexity.
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New Trends in High Voltage Engineering
by Reza Shariatinasab (ed.)
Publisher: InTech 2018
ISBN-13: 9781789849035
Number of pages: 62
Description:
In this book, research is carried out on nano-doping effects on the performance and future development of polypropylene nano-composites. Also, the characteristics of CF3I gas and its combination with nitrogen by experimental results are investigated. The book also discusses the effect of harmonic resonance on the insulation.
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20 popular titles that can help you be a better and stronger person. Use them for your next year’s resolution, for research, to get things moving or in any efforts that you’re taking for a more awesome life.
Here are the books:-
The Big Data Agenda: Data Ethics and Critical Data Studies
by Annika Richterich
Publisher: University of Westminster Press 2018
ISBN-13: 9781911534730
Number of pages: 156
Description:
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance.
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Mineralogy of Quartz and Silica Minerals
by Jens Götze (ed.)
Publisher: MDPI AG 2018
ISBN-13: 9783038973492
Number of pages: 276
Description:
The present book reports recent contributions from research in the field of quartz and other silica minerals. The various forms of silica (SiO2) represent important constituents of the Earth crust and play a central role in the composition of geological materials. In particular, quartz is widely used as a raw material in numerous industrial sectors. The knowledge of the formation and specific properties of SiO2 rocks and minerals is indispensable for the understanding and reconstruction of geological processes, as well as for specific technical applications.
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