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README.md: add short description of models (tensorflow#359)
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README.md

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@@ -5,3 +5,17 @@ This repository contains machine learning models implemented in
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respective authors.
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To propose a model for inclusion please submit a pull request.
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## Models
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- [autoencoder](autoencoders) -- various autoencoders
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- [inception](inception) -- deep convolutional networks for computer vision
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- [namignizer](namignizer) -- recognize and generate names
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- [neural_gpu](neural_gpu) -- highly parallel neural computer
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- [privacy](privacy) -- privacy-preserving student models from multiple teachers
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- [resnet](resnet) -- deep and wide residual networks
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- [slim](slim) -- image classification models in TF-Slim
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- [swivel](swivel) -- TensorFlow implementation of the Swivel algorithm for generating word embeddings
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- [syntaxnet](syntaxnet) -- neural models of natural language syntax
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- [textsum](textsum) -- sequence-to-sequence with attention model for text summarization.
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- [transformer](transformer) -- spatial transformer network, which allows the spatial manipulation of data within the network

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