# hello-sea/DeepLearning\_Wavelet-LSTM

<https://repo.masters-masters.com/en/repos/hello-sea/DeepLearning_Wavelet-LSTM>

[Home](https://repo.masters-masters.com/en) › [hello-sea](https://repo.masters-masters.com/en/owners/hello-sea) › [DeepLearning\_Wavelet-LSTM](https://repo.masters-masters.com/en/repos/hello-sea/DeepLearning_Wavelet-LSTM)

hello-sea/DeepLearning\_Wavelet-LSTM has 190 stars on GitHub. Its RepoMasters card: Prototype tier. LSTM + Wavelet（长短期记忆神经网络+小波分析）：深度学习与数字信号处理的结合

| Field | Value |
| --- | --- |
| Owner | [hello-sea](https://repo.masters-masters.com/en/owners/hello-sea) |
| Stars | 190 |
| Forks | 54 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hello-sea/DeepLearning\_Wavelet-LSTM](https://github.com/hello-sea/DeepLearning_Wavelet-LSTM) |

## Repository

LSTM + Wavelet（长短期记忆神经网络+小波分析）：深度学习与数字信号处理的结合

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.