Book > Thinking Machines Neural Networks And Hardware Implementation

Thinking Machines

Thinking Machines

Detail Book : Thinking Machines written by Shigeyuki Takano, published by Academic Press which was released on 15 March 2021. Download Thinking Machines Books now! Available in PDF, ePub and Kindle. Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation. Readers will learn what is required for the design of machine learning hardware for neuromorphic computing and/or neural networks. This is a recommended book for those who have basic knowledge of machine learning or those who want to learn more about the current trends of machine learning. Presents a clear understanding of various available machine learning hardware accelerator solutions that can be applied to selected machine learning algorithms Offers key insights into the development of hardware, from algorithms, software, logic circuits, to hardware accelerators Introduces the baseline characteristics of deep neural network models that should be treated by hardware as well Presents readers with a thorough review of past research and products, explaining how to design through ASIC and FPGA approaches for target machine learning models Surveys current trends and models in neuromorphic computing and neural network hardware architectures Outlines the strategy for advanced hardware development through the example of deep learning accelerators

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Author : Shigeyuki Takano
Release Date : 15 March 2021
Publisher : Academic Press
Rating : 4/5 (from 21 users)
Pages : 200
ISBN : 9780128182796
Format : PDF, ePUB, KF8, PDB, MOBI, Tuebl
Thinking Machines

Thinking Machines

Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples

GET BOOK
The Promise of Neural Networks

The Promise of Neural Networks

This book is the product of a 15-month intensive investigation of the European artificial network scene, together with a view of the broader framework of the subject in a world context. It could not have been completed in such a remarkably short time, and so effectively, without the dedicated efforts

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Turing   s Connectionism

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Christof Teuscher revives, analyzes, and simulates Turing's ideas, applying them to different types of problems, and building and training Turing's machines using evolutionary algorithms. In a little known paper entitled 'Intelligent Machinery' Turing investigated connectionist networks, but his work was dismissed as a 'schoolboy essay'and it was left unpublished until 1968, 14

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Brainmakers  How Scientists Moving Beyond Computers Create Rival to Humn Brain

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A fascinating tour behind the scenes at laboratories around the world as top researchers race to create revolutionary "thinking machines" that may one day lead to a new form of intelligence. Join David Freedman as he takes you on a fascinating tour behind the scenes at laboratories around the world

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Handbook of Neural Computation

Handbook of Neural Computation

The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl

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STAR

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Neural Networks Theory  Technology  and Applications

Neural Networks Theory Technology and Applications

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While the primary objective of the text is to provide a teaching tool, practicing engineers and scientists are likely to find the clear, concept-based treatment useful in updating their backgrounds.

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Thinking in Complexity

This new edition also treats smart materials and artificial life. A new chapter on information and computational dynamics takes up many recent discussions in the community.

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Artificial Neural Networks

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Applications of artificial neural networks II

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Advances in Artificial Intelligence

This book constitutes the refereed proceedings of the 4th Hellenic Conference on Artificial Intelligence, SETN 2006, held at Heraklion, Crete, Greece in May 2006. The 43 revised full papers and extended abstracts of 34 revised short papers presented together with 2 invited contributions address many areas of artificial intelligence; particular fields of interest include: logic

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Artificial Intelligence Abstracts

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