# ichuang/tflearn\_wide\_and\_deep

<https://repo.masters-masters.com/en/repos/ichuang/tflearn_wide_and_deep>

[Home](https://repo.masters-masters.com/en) › [ichuang](https://repo.masters-masters.com/en/owners/ichuang) › [tflearn\_wide\_and\_deep](https://repo.masters-masters.com/en/repos/ichuang/tflearn_wide_and_deep)

ichuang/tflearn\_wide\_and\_deep has 145 stars on GitHub. Its RepoMasters card: Prototype tier. Pedagogical example realization of wide & deep networks, using…

| Field | Value |
| --- | --- |
| Owner | [ichuang](https://repo.masters-masters.com/en/owners/ichuang) |
| Stars | 145 |
| Forks | 63 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2016 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ichuang/tflearn\_wide\_and\_deep](https://github.com/ichuang/tflearn_wide_and_deep) |

## Repository

Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.

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.