DinoRunTutorial

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DinoRunTutorial

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Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

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# Dino Run Tutorial

A Deep Convolutional Neural Network to play Google Chrome's offline Dino Run game by learning action patterns from visual input using a model-less Reinforcement Learning Algorithm

Accompanying code for Paperspace tutorial ["Build an AI to play Dino Run"](https://blog.paperspace.com/dino-run/)

[![Video Sample](https://media.giphy.com/media/Ahh7X6z7jZSSl4veLf/giphy.gif)](http://www.youtube.com/watch?v=w1Rqf2oxcPU)

# Installation 
Start by cloning the repository
 
 
`$ git clone https://github.com/Paperspace/DinoRunTutorial.git`
 
You need to initialize the file system to save progress and resume from last step. 
Invoke `init_cache()` for the first time to do this

Dependencies can be installed using pip install or conda install for Anaconda environment

- Python 3.6 Environment with ML libraries installed (numpy,pandas,keras,tensorflow etc)
- Selenium
- OpenCV
- ChromeDriver

ChromeDriver can be installed by going to (link - https://chromedriver.chromium.org/downloads) and also download the driver according to your chrome version which can be found under settings->About Chrome.
 
Change the path of chrome driver accordingly in Reinforcement Learning Dino Run.ipynb.(Default ="../chromedriver")

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