PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
这是一篇2017年发表在顶级期刊NIPS上的文章，作者通过发现传统RNN/LSTM网络的不足，提出了一种新的网络结构PredRNN，并且为这一网络结构设计了一种新的RNN单元（ST-LSTM)。由于博主能力有限，通过阅读原文短时间能只是领悟到PredRNN这一网络结构的思想，而并未对ST-LSTM的设计灵感有更深的体会。 下面这篇博文主要是来介绍一下什么是PredRNN，以及通过作者的设计思路能带
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相关文章
- 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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- 7. Recurrent Convolutional Neural Networks for Text Classification
- 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