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dfm / tf-tutorial

Licence: MIT License
A non-traditional TensorFlow tutorial

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Jupyter Notebook
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python
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This repository contains an interactive IPython worksheet (worksheet.ipynb) designed to introduce you to model fitting using TensorFlow. Only very minimal experience with Python should be necessary to get something out of this.

Prerequisites

You'll need the standard scientific Python stack (numpy, scipy, and matplotlib), a recent version of Jupyter, and emcee installed. If you don't already have a working Python installation (and maybe even if you do), I recommend using the Anaconda distribution and then running pip install emcee.

Usage

After you have your Python environment set up, download the code from this repository by running:

git clone https://github.com/dfm/tf-tutorial.git

or by clicking here.

Then, navigate into the tf-tutorial directory and run

cp worksheet.ipynb worksheet_in_progress.ipynb
jupyter notebook

Then, in your web browser, navigate to localhost:8888 and click on worksheet_in_progress.ipynb to get started.

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