dhbrand / workshops

TensorFlow Workshops

Exercises for use at events.

How-to run these notebooks

To run these notebooks, you'll need to:

1. Install TensorFlow
2. Install Jupyter
3. Clone this repo
4. Start Jupyter, and open a notebook

Install TensorFlow by following these instructions.

Next, open a terminal and install additional dependencies used by these exercises. Note: if you installed TensorFlow using a virtual environment, be sure to activate the environment before running this command.

$ pip install -U numpy jupyter matplotlib pandas Pillow

Next, clone the workshops repo.

$ git clone https://github.com/tensorflow/workshops
$ cd workshops

Finally, start Jupyter.

$ jupyter notebook

You will see output on your terminal to indicate the server is running. Towards the end of the output, you will see a line similar to this.

Copy/paste this URL into your browser when you connect for the first time,
    to login with a token:
        http://localhost:8888/?token=e9fbab4702ac162eb1f1fc5...

Copy this URL, and paste it into your browser. Finally, navigate to the examples folder, and open the first notebook.

Slides

Here's a link to slides you can use for this workshop: https://goo.gl/bq8HAE Note: these are very basic at the moment. Improving them is on our roadmap.

Would you like to contribute, or report a bug?

Thanks! Can you please file an issue, or even better, a pull request? Future developers will appreciate your help. If it's your first time contributing to a TensorFlow project, there's just one legal hurdle to jump through first. Please review the contribution guidelines.

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This is not an official Google product.