PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
這是一篇2017年發表在頂級期刊NIPS上的文章，作者通過發現傳統RNN/LSTM網絡的不足，提出了一種新的網絡結構PredRNN，並且爲這一網絡結構設計了一種新的RNN單元（ST-LSTM)。由於博主能力有限，通過閱讀原文短時間能只是領悟到PredRNN這一網絡結構的思想，而並未對ST-LSTM的設計靈感有更深的體會。 下面這篇博文主要是來介紹一下什麼是PredRNN，以及通過作者的設計思路能帶
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相關文章
- 1. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
- 2. A Critical Review of Recurrent Neural Networks for Sequence Learning
- 3. Taming Recurrent Neural Networks for Better Summarization
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- 5. Predictive learning vs. representation learning
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- 8. Disconnected Recurrent Neural Networks for Text Categorization
- 9. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
- 10. The Unreasonable Effectiveness of Recurrent Neural Networks