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hello_tensorflow.py
tensorflow_image.png

README.md

TensorFlow Resources

Curated Tensorflow code resources to help you get started with Deep Learning.

TensorFlow Image

How is this repo structured?

Each folder in this repo is named after a section of Deep Learning.

For example, the basics folder contains code to get you started with the syntax of Tensorflow (or TF). The projects folder contains real world predictions and classifications using TF.

Sometimes folders are also named with their respective algorithm names, like the regression and convolution_networks folders.

How do I use this repo?

Start out with the hello_tensorflow.py file, then checkout the basics folder, work your way through basic_networks, costs_and_gradients, and finally regression and classification. By this time, you should be comfortable enough to work with other complicated resources in this repo.

What's in this repo?

License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License

Copyright (c) 2017 Skcript

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

About

Skcript

This project is maintained by Skcript. The names and logos for Skcript are properties of Skcript.

We love open source, and we have been doing quite a bit of contributions to the community. Take a look at them here. Also, encourage people around us to get involved in community operations. Join us, if you'd like to see the world change from our HQ.