The Implementations for Fixed-Point and Floating-Point Recurrent Neural Networks
碩士 === 亞洲大學 === 光電與通訊學系 === 107 === In this thesis, the research on the learning performances of fixed-point and float-ing-point implementations in single-layer and double-layer recurrent neural net-works is proposed. The recursive neural network is in fact the combination of feed-forward neural net...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/9yf8k2 |