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authoredAug 16, 2016
Merge pull request #1 from gitter-badger/gitter-badge
Add a Gitter chat badge to README.md
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‎README.md

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# Visual Question Answering in Tensorflow
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[![Join the chat at https://gitter.im/neural-vqa-tensorflow/Lobby](https://badges.gitter.im/neural-vqa-tensorflow/Lobby.svg)](https://gitter.im/neural-vqa-tensorflow/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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This is a Tensorflow implementation of the VIS + LSTM visual question answering model from the paper [Exploring Models and Data for Image Question Answering][1]
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by Mengye Ren, Ryan Kiros & Richard Zemel. The model architectures vaires slightly from the original - the image embedding is plugged into the last lstm step (after the question) instead of the first. The LSTM model uses the same hyperparameters as those in the [Torch implementation of neural-VQA][2].
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![Model architecture](http://i.imgur.com/Jvixx2W.jpg)

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