# dyadxmachina/Applied-Deep-Learning-with-TensorFlow

<https://repo.masters-masters.com/en/repos/dyadxmachina/Applied-Deep-Learning-with-TensorFlow>

[Home](https://repo.masters-masters.com/en) › [dyadxmachina](https://repo.masters-masters.com/en/owners/dyadxmachina) › [Applied-Deep-Learning-with-TensorFlow](https://repo.masters-masters.com/en/repos/dyadxmachina/Applied-Deep-Learning-with-TensorFlow)

dyadxmachina/Applied-Deep-Learning-with-TensorFlow has 161 stars on GitHub. Its RepoMasters card: Prototype tier. Learn applied deep learning from zero to…

| Field | Value |
| --- | --- |
| Owner | [dyadxmachina](https://repo.masters-masters.com/en/owners/dyadxmachina) |
| Stars | 161 |
| Forks | 46 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | tensorflow, deep-learning, deep-neural-networks, distributed-deep-learning, google-cloud, cloud-machine-learning-engine, christian-fanli-ramsey |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dyadxmachina/Applied-Deep-Learning-with-TensorFlow](https://github.com/dyadxmachina/Applied-Deep-Learning-with-TensorFlow) |

## Repository

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

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.