# llSourcell/How-to-Learn-from-Little-Data

<https://repo.masters-masters.com/en/repos/llSourcell/How-to-Learn-from-Little-Data>

[Home](https://repo.masters-masters.com/en) › [llSourcell](https://repo.masters-masters.com/en/owners/llSourcell) › [How-to-Learn-from-Little-Data](https://repo.masters-masters.com/en/repos/llSourcell/How-to-Learn-from-Little-Data)

llSourcell/How-to-Learn-from-Little-Data has 142 stars on GitHub. Its RepoMasters card: Prototype tier. This is the code for "How to Learn from Little Data -…

| Field | Value |
| --- | --- |
| Owner | [llSourcell](https://repo.masters-masters.com/en/owners/llSourcell) |
| Stars | 142 |
| Forks | 65 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [llSourcell/How-to-Learn-from-Little-Data](https://github.com/llSourcell/How-to-Learn-from-Little-Data) |

## Repository

This is the code for "How to Learn from Little Data - Intro to Deep Learning \#17' 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.