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A short example of how to use Tensorflow as an image classifier

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Doodle Classifier

This is a single layer Neural Network made with TensorFlow that classifies doodles into either pens or pineapples.

Getting Started

Prerequisites

In order to run this locally, you will need at least Python 2.7, IPython, Numpy, Matplotlib and TensorFlow.

This project also uses the Jupyter Notebook. I highly recommend downloading and installing it, though I'll add a python script to run in terminal soon.

Try it out!

Clone this repository with git clone https://github.com/zolastro/TFDoodleClassifier.git and run the command jupyter notebook into the same folder. Then your default browser should pop-up. If not, just go to http://localhost:8888/tree.

The current code and guidelines are in the Pen-Pineapple-Apple-Pen.ipynb notebook. Feel free to execute and modify the code! Press Shift+Enter in a block of code to execute it.

About the data

All the data used in this project is available in Quick Draw - The Data.

Acknowledgments

Thanks to Archelogos for his YouTube videos, they helped me a lot!

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