（KWS-LSTM）Max-pooling loss training of long short-term memory networks for small-footprint KWS
會議：2016 IEEE口語技術研討會（SLT） 論文：Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting 作者： Ming Ming，Anirudh Raju，George Tucker，Sankaran Panchapagesan，Gengshen F
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相關文章
- 1. Sequence Models and Long-Short Term Memory Networks
- 2. （轉）A Recipe for Training Neural Networks
- 3. Essentials of Deep Learning : Introduction to Long Short Term Memory
- 4. Bag of Freebies for Training Object Detection Neural Networks
- 5. Long Short Term Memory networks(LSTMs)
- 6. [解讀] You Only Train Once Loss-Conditional Training of Deep Networks
- 7. NRE論文總結：Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
- 8. Domain-Adversarial Training of Neural Networks
- 9. Bag of Tricks for Convolutional Neural Networks
- 10. [ACL2016]Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification