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Space-Time Computing with Temporal Neural Networks - Synthesis Lectures on Computer Architecture James E. Smith
Space-Time Computing with Temporal Neural Networks - Synthesis Lectures on Computer Architecture
James E. Smith
Neuron inputs are encoded as spike patterns, and the neuron is trained to identify input pattern similarities. Similar input patterns are mapped to a much smaller set of similar output patterns, thereby dividing the input patterns into identifiable clusters.
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2017年5月18日 |
| ISBN13 | 9783031006265 |
| 出版商 | Springer International Publishing AG |
| 页数 | 220 |
| 商品尺寸 | 150 × 220 × 10 mm · 426 g |
| 语言 | 英语 |
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