《DeepRain：ConvLSTM Network For Precipitation Prediction Using Multichannel Radar Data》論文解讀
Abstract 在本文中，作者提出了一種新的數據驅動的深度學習模型——DeepRain。這個模型可以通過三維四通道的數據對雷達數據進行預測，採用的是ConvLSTM。 Introduction 在施行健提出的ConvLSTM中採用的是三維和一通道的數據，但是在本文中，我們採用的是三維四通道的數據。三維即width，height和depth，四通道則爲depth from four alt
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相關文章
- 1. 《All convolutional neural networks for radar-based precipitation nowcasting》論文解讀
- 2. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting論文閱讀
- 3. 《LightNet：A Dual Spatiotemporal Encoder Network Model for Lighting Prediction》論文解讀
- 4. 論文Product-based Neural Network for User Response Prediction
- 5. 《SmaAt-UNet Precipitation Nowcasting using a Small Attention-UNet Architecture》論文解讀
- 6. 論文閱讀《SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction》
- 7. 論文筆記：Deep Convolutional Neural Network On Multichannel Time Series For Human Activity Recognition
- 8. CVPR 2017 On human motion prediction using recurrent neural networks 論文解讀
- 9. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
- 10. 【論文導讀】Target Prediction for Indirect Jumps