# gicait/DL-for-satellite-image-analysis

<https://repo.masters-masters.com/en/repos/gicait/DL-for-satellite-image-analysis>

[Home](https://repo.masters-masters.com/en) › [gicait](https://repo.masters-masters.com/en/owners/gicait) › [DL-for-satellite-image-analysis](https://repo.masters-masters.com/en/repos/gicait/DL-for-satellite-image-analysis)

gicait/DL-for-satellite-image-analysis has 108 stars on GitHub. Its RepoMasters card: Prototype tier. This includes short and minimalistic few examples…

| Field | Value |
| --- | --- |
| Owner | [gicait](https://repo.masters-masters.com/en/owners/gicait) |
| Stars | 108 |
| Forks | 36 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Topics | satellite-image-analysis, deep-learning, neural-networks, exercises, tutorial, earth-observation, remote-sensing, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [gicait/DL-for-satellite-image-analysis](https://github.com/gicait/DL-for-satellite-image-analysis) |

## Repository

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

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.