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Implemented TensorFlow to determine whether a picture is either a hamburger or hotdog to 96% accuracy.

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Tensorflowhamburgerorhotdog

This project uses a python script to download images from http://image-net.org/ with a catch to determine whether the link is valid or not.

The images are then downloaded, and from there a 6 layer neural network is created with tensorflow. The model then runs over 100 epochs to determine the accuracy to 96.42%.

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Implemented TensorFlow to determine whether a picture is either a hamburger or hotdog to 96% accuracy.

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