论文阅读《SUPERPOSITION AS DATA AUGMENTATION USING LSTM AND HMM IN SMALL TRAINING SETS》
《SUPERPOSITION AS DATA AUGMENTATION USING LSTM AND HMM IN SMALL TRAINING SETS》 链接：https://pan.baidu.com/s/1hMljmjUvC0e7TwZUB7oyTw 提取码：p9kk 摘要 考虑到音频和图像数据具有量子性（数据用密度矩阵表示），我们采用叠加增强的方法混合训练样本，在三层叠加的LSTM和HM
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相关文章
- 1. Unsupervised Data Augmentation For Consistency Training 论文阅读
- 2. 论文阅读：AutoAugment: Learning Augmentation Strategies from Data
- 3. 论文阅读：Learning Data Augmentation Strategies for Object Detection
- 4. 论文阅读 Jointly Optimize Data Augmentation and Network Training
- 5. 【论文阅读笔记】Random Erasing Data Augmentation
- 6. 论文阅读之《Random Erasing Data Augmentation》
- 7. 论文阅读：Text-to-Text Pre-Training for Data-to-Text Tasks
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- 9. 阅读论文 《Train RNN as fast as CNN》
- 10. GridMask Data Augmentation-文献阅读笔记