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+# Relation Networks and Sort-of-CLEVR in Tensorflow
+
+## Descriptions
+This project includes a [Tensorflow](https://www.tensorflow.org/) implementation of Relation Networks and a synthetic VQA dataset named Sort-of-CLEVR proposed in the paper [A Simple Neural Network Module for Relational Reasoning](https://arxiv.org/abs/1706.01427).
+
+### Relation Networks
+
+[[Placeholder: the intro of RNs]]
+
+<img src="figure/RN.png" height="450"/>
+
+### Sort-of-CLEVR
+
+[[Placeholder: the intro of the dataset]]
+
+Note that this implementation only follows the main idea of the original paper while differing a lot in implementation details such as model architectures, hyperparameters, applied optimizer, etc. Also, the design of Sort-of-CLEVR only follows the high level ideas of the one proposed in the orginal paper.
+
+\*This code is still being developed and subject to change.
+
+## Prerequisites
+
+- Python 2.7 or Python 3.3+
+- [Tensorflow 1.0.0](https://github.com/tensorflow/tensorflow/tree/r1.0)
+- [Tensorflow Plot](https://github.com/wookayin/tensorflow-plot)
+- [SciPy](http://www.scipy.org/install.html)
+- [NumPy](http://www.numpy.org/)
+
+## Usage
+
+### Datasets
+
+### Training
+
+### Testing
+
+## Results
+
+## Related works
+* [A Simple Neural Network Module for Relational Reasoning](https://arxiv.org/abs/1706.01427) by 
+* [Visual Interaction Networks](https://arxiv.org/abs/1706.01433) by Watters et. al.
+* [Interaction networks for learning about objects, relations and physics](https://arxiv.org/abs/1612.00222) by Battaglia et. al.
+* My implementation of [Semi-supervised learning GAN](https://github.com/gitlimlab/SSGAN-Tensorflow)
+* My implementation of [Comparisons among SELU, ReLU, and LReLU based on visualization and histogram of activations](https://github.com/shaohua0116/Activation-Visualization-Histogram)
+
+## Author
+
+Shao-Hua Sun / [@shaohua0116](https://shaohua0116.github.io/) @ [Joseph Lim's research lab](https://github.com/gitlimlab) @ USC
+
+## Acknowledgement