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relation-network
implement relation network introduced by deepmind using keras.
Relation network is a noval neural network introduced by deepmind in A simple neural network module for relational reasoning. It can achieve super-human performance in challenging visual question answering datasets such as CLEVR.
I implement Relation network using keras and train it on a challenging visual question answering dataset called Cornell NLVR. The training is in progress. The temporal test accuracy is 76.87%, which is much higher than the previous state of the art (61.99%).
Description
keras implementation of [A simple neural network module for relational reasoning](https://arxiv.org/pdf/1706.01427.pdf)
40 KiB
Languages
Python
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