論文筆記：Deep Convolutional Neural Network On Multichannel Time Series For Human Activity Recognition
Deep Convolutional Neural Network On Multichannel Time Series For Human Activity Recognition 輸入：來自不同穿戴設備傳感器的時間序列的值。 輸出：當前人物的動作 步驟： 對於多個穿戴設備的時間序列進行時間劃分 對每個劃分使用卷提取特徵 採樣/pooling 卷積 … D-densor 全連接 sofrmax
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相關文章
- 1. 論文學習：Deep Convolutional Neural Networks On Multichannel Time Series For Human Activity Recognition
- 2. 論文筆記：Autoregression Convolutional Neural Network for Asynchronous Time Series
- 3. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 4. 論文 Convolutional Networks for Images, Speech, and Time-Series
- 5. 論文筆記3D Convolutional Neural Networks for Human Action Recognition
- 6. 《3D Convolutional Neural Networks for Human Action Recognition》論文閱讀筆記
- 7. 《Deep learning for time series classification a review》筆記
- 8. 1607.Gated Siamese Convolutional Neural Network Architecture for Human Re-identificationl論文筆記
- 9. How to Use Convolutional Neural Networks for Time Series Classification
- 10. 《A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling》筆記