# llSourcell/how\_to\_make\_an\_image\_classifier

<https://repo.masters-masters.com/en/repos/llSourcell/how_to_make_an_image_classifier>

[Home](https://repo.masters-masters.com/en) › [llSourcell](https://repo.masters-masters.com/en/owners/llSourcell) › [how\_to\_make\_an\_image\_classifier](https://repo.masters-masters.com/en/repos/llSourcell/how_to_make_an_image_classifier)

llSourcell/how\_to\_make\_an\_image\_classifier has 100 stars on GitHub. Its RepoMasters card: Prototype tier. This is the code for the "How to Make an Image…

| Field | Value |
| --- | --- |
| Owner | [llSourcell](https://repo.masters-masters.com/en/owners/llSourcell) |
| Stars | 100 |
| Forks | 83 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [llSourcell/how\_to\_make\_an\_image\_classifier](https://github.com/llSourcell/how_to_make_an_image_classifier) |

## Repository

This is the code for the "How to Make an Image Classifier" - Intro to Deep Learning \#6 by Siraj Raval on Youtube

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.