# c1mone/Tensorflow-101

<https://repo.masters-masters.com/en/repos/c1mone/Tensorflow-101>

[Home](https://repo.masters-masters.com/en) › [c1mone](https://repo.masters-masters.com/en/owners/c1mone) › [Tensorflow-101](https://repo.masters-masters.com/en/repos/c1mone/Tensorflow-101)

c1mone/Tensorflow-101 has 187 stars on GitHub. Its RepoMasters card: Prototype tier. 中文的 tensorflow tutorial with jupyter notebooks Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [c1mone](https://repo.masters-masters.com/en/owners/c1mone) |
| Stars | 187 |
| Forks | 70 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2016 |
| Topics | tensorflow, jupyter-notebook, autoencoder, deep-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [c1mone/Tensorflow-101](https://github.com/c1mone/Tensorflow-101) |

## Repository

中文的 tensorflow tutorial with jupyter notebooks

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

## Nearby in Jupyter Notebook

- [goodfire-ai/r1-interpretability · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/goodfire-ai/r1-interpretability)
- [mindsRiverPonder/NekoLLM-practice · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/mindsRiverPonder/NekoLLM-practice)
- [BGI-HangzhouAI/Genos · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/BGI-HangzhouAI/Genos)
- [jeff-regier/Celeste.jl · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/jeff-regier/Celeste.jl)
- [furas/python-examples · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/furas/python-examples)
- [jansenicus/www-coursera-downloader · ★ 187 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/jansenicus/www-coursera-downloader)

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