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- W2138630647 abstract "We present a technique and algorithms to solve the following problem: Given both a Neural Network trained to classify a set of images, along with a set of floating-point hardware blocks (in reconfigurable logic), find the arrangement of blocks that achieves the best mix of precision, resources and speed with respect to a given cost function. We first illustrate the technique in detail by using a small example, then show that it may be used for a larger problem, bar code classification." @default.
- W2138630647 created "2016-06-24" @default.
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- W2138630647 date "2008-06-01" @default.
- W2138630647 modified "2023-09-27" @default.
- W2138630647 title "Adatpive Precision Neural Networks for Image Classification" @default.
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- W2138630647 doi "https://doi.org/10.1109/ahs.2008.65" @default.
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