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Zhenye-Na committed Nov 22, 2020
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> *Get hands-on experience of implementation of RNN (LSTM) in Pytorch;*
> *Get familiar with Finacial data with Deep Learning;*
<div align="center">
<a href="https://starchart.cc/Zhenye-Na/DA-RNN"><img src="https://starchart.cc/Zhenye-Na/DA-RNN.svg" alt="Stargazers over time"></a>
<p align="center">Stargazers over time</p>
</div>

## Table of Contents

- [Dataset](#dataset)
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### Training process

| <img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/result_01.png?raw=true" width="50%"> | <img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/result_02.png?raw=true" width="50%"> |
| <img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/result_01.png?raw=true" width="80%"> | <img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/result_02.png?raw=true" width="80%"> |
|----------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------|

### Training Loss

<div align="center">
<img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/loss1.png?raw=true" width="25%">
<img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/loss2.png?raw=true" width="25%">
</div>
| <img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/loss1.png?raw=true" width="80%"> | <img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/loss2.png?raw=true" width="80%"> |
|------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------|


### Prediction

<div align="center">
<img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/prediction.png?raw=true" width="25%">
</div>
| <img src="https://github.com/Zhenye-Na/DA-RNN/blob/master/fig/prediction.png?raw=true" width="80%"> |
|-----------------------------------------------------------------------------------------------------|


## DA-RNN
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