# ashrefm/multi-label-soft-f1

<https://repo.masters-masters.com/en/repos/ashrefm/multi-label-soft-f1>

[Home](https://repo.masters-masters.com/en) › [ashrefm](https://repo.masters-masters.com/en/owners/ashrefm) › [multi-label-soft-f1](https://repo.masters-masters.com/en/repos/ashrefm/multi-label-soft-f1)

ashrefm/multi-label-soft-f1 has 136 stars on GitHub. Its RepoMasters card: Prototype tier. Train a multi-label image classifier with macro soft-F1 loss in…

| Field | Value |
| --- | --- |
| Owner | [ashrefm](https://repo.masters-masters.com/en/owners/ashrefm) |
| Stars | 136 |
| Forks | 36 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ashrefm/multi-label-soft-f1](https://github.com/ashrefm/multi-label-soft-f1) |

## Repository

Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0

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.