https://github.com/rap12/tensorflow-tutorials
Tutorial materials to help you understand how to use TensorFlow.
https://github.com/rap12/tensorflow-tutorials
machine-learning tensorflow tensorflow-tutorial tensorflow-tutorials
Last synced: 5 months ago
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Tutorial materials to help you understand how to use TensorFlow.
- Host: GitHub
- URL: https://github.com/rap12/tensorflow-tutorials
- Owner: rap12
- Created: 2017-11-19T16:13:17.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-28T07:31:09.000Z (about 8 years ago)
- Last Synced: 2025-04-07T02:34:15.955Z (8 months ago)
- Topics: machine-learning, tensorflow, tensorflow-tutorial, tensorflow-tutorials
- Language: Jupyter Notebook
- Size: 28.3 KB
- Stars: 7
- Watchers: 0
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# tensorflow-tutorials
Tutorial materials to help you understand how to use TensorFlow.
## Requirements
### Local machine set-up
- [TensorFlow](https://tensorflow.org/install) (Crafted for TensorFlow <=1.2)
- [Python 3.5](https://python.org)
- [Jupyter Notebook](https://jupyter.org)
### For cloud you can use:
- [Azure Notebook](https://notebooks.azure.com)
## Slides
1. [TensorFlow Introduction](https://drive.google.com/open?id=1FCTBLAtQAB3Ag8c5qqPGB2x57U2SV7whUOYVIQLjCdU)
2. [Low-Level: Linear Regression](https://drive.google.com/open?id=1FDmrFza0yaj3ExHrMvww4WT8HBFbO3bGdBDbOAeDWno)
3. [Low-Level: Logistic Regression using Iris Dataset](https://drive.google.com/open?id=1hBz-QpYP900Kfnh-Dojirw3xqdAvNqELXJPnJUWxbys)
4. Low-Level: Logistic Regression using MNIST Dataset (coming soon)
5. Low-Level: Multilayer Convolutional Network using MNIST Dataset (coming soon)
6. High-Level: Multilayer Convolutional Network using MNIST Dataset (coming soon)