# chihyaoma/Activity-Recognition-with-CNN-and-RNN

<https://repo.masters-masters.com/en/repos/chihyaoma/Activity-Recognition-with-CNN-and-RNN>

[Home](https://repo.masters-masters.com/en) › [chihyaoma](https://repo.masters-masters.com/en/owners/chihyaoma) › [Activity-Recognition-with-CNN-and-RNN](https://repo.masters-masters.com/en/repos/chihyaoma/Activity-Recognition-with-CNN-and-RNN)

chihyaoma/Activity-Recognition-with-CNN-and-RNN has 440 stars on GitHub. Its RepoMasters card: Alpha tier. Temporal Segments LSTM and Temporal-Inception for…

| Field | Value |
| --- | --- |
| Owner | [chihyaoma](https://repo.masters-masters.com/en/owners/chihyaoma) |
| Stars | 440 |
| Forks | 144 |
| Language | [Lua](https://repo.masters-masters.com/en/languages/lua) |
| License | MIT |
| Created | 2016 |
| Topics | activity-recognition, video-understanding, torch, lstm-neural-networks, convolutional-neural-networks |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [chihyaoma/Activity-Recognition-with-CNN-and-RNN](https://github.com/chihyaoma/Activity-Recognition-with-CNN-and-RNN) |

## Repository

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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