# tensorboard_demos
Make sense of deep neural networks using TensorBoard

# Make Sense of Deep Neural Networks using TensorBoard

## Getting Started

Repo: [github.com/PythonWorkshop/tensorboard_demos](https://github.com/PythonWorkshop/tensorboard_demos)

Fetch it:

```bash
git clone git@github.com:PythonWorkshop/tensorboard_demos
```

Install dependencies (NumPy, matplotlib, scikit-learn, TensorFlow):

```bash
pip install -r requirements.txt
```

Run notebook:

```bash
jupyter notebook tensorboard_basics.ipynb
```

-- OR --

[_coming soon_] Go to the [repo](https://github.com/PythonWorkshop/tensorboard_demos) and hit the **launch binder** badge to run!

_**Note**: This notebook is written in Python 3._

Add getting started instructions to readme
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