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https://machinelearningmastery.com/text-generation-lstm-recurrent-neural-networks-python-keras/
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## Row LSTM/Diagonal BiLSTM
### 结构
![image](https://user-images.githubusercontent.com/26847524/54469679-39372700-47d6-11e9-8133-3db7a5aafc8a.png)
### 计算
![image](https://user-images.github…
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Very good project!
I'm really interested in your DDPG algorithm with LSTM. Is it based on the paper :
> Nicolas Heess & Jonathan Hunt et al,Memory-based control with recurrent neural networks?
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Here is the list of tutorials that were removed from the website for not meeting the quality bar. These tutorials should be improved, reviewed and committed.
- [How do I work with MXNet within a Ma…
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Some of the most common DL Algorithms are listed below. Feel free to suggest other algorithms, not on the list. and we'll update it.
**Name**
- [ ] Artificial Neural Network
- [ ] Adaline Neural …
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Cudnn 5 now supports GRU and LSTM cells natively, with speedup's of up to 6 times compared to a Cublass implementation of GRU's and LSTMs. IT would be great if Cudarray could support this.
https://de…
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### Feature
I kindly request the addition of support for the Kronecker-Factored Approximate Curvature (KFAC) optimization technique in LSTM and GRU layers within the existing KFAC Optimizer. Curren…
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This model is used to predict earthquakes. Predicting earthquakes is one of the great unsolved problems in the earth sciences.
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seems very hands on and practical. Check it out:
http://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/
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We now have the reasonable capacity to perform time series forecasting via reduction to regression. Some bespoke forecasting architectures would also be good to implement too, though.
@mloning thi…