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FPGA Implementations of Neural Networks (Paperback, Softcover reprint of hardcover 1st ed. 2006)
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FPGA Implementations of Neural Networks (Paperback, Softcover reprint of hardcover 1st ed. 2006)
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During the 1980s and early 1990s there was signi?cant work in the
design and implementation of hardware neurocomputers. Nevertheless,
most of these efforts may be judged to have been unsuccessful: at
no time have have ha- ware neurocomputers been in wide use. This
lack of success may be largely attributed to the fact that earlier
work was almost entirely aimed at developing custom neurocomputers,
based on ASIC technology, but for such niche - eas this technology
was never suf?ciently developed or competitive enough to justify
large-scale adoption. On the other hand, gate-arrays of the period
m- tioned were never large enough nor fast enough for serious
arti?cial-neur- network (ANN) applications. But technology has now
improved: the capacity and performance of current FPGAs are such
that they present a much more realistic alternative. Consequently
neurocomputers based on FPGAs are now a much more practical
proposition than they have been in the past. This book summarizes
some work towards this goal and consists of 12 papers that were
selected, after review, from a number of submissions. The book is
nominally divided into three parts: Chapters 1 through 4 deal with
foundational issues; Chapters 5 through 11 deal with a variety of
implementations; and Chapter 12 looks at the lessons learned from a
large-scale project and also reconsiders design issues in light of
current and future technology.
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