We are trying to build a artificial agent that learns to count the number of objects in a scene. Previous, we built a simple agent bsaed on Q learning. Here, we are using a more sophisticated architecture: the recurrent model of attention [1], or RAM.
Our actual implementation of the RAM is here. In this repo, I am using this RAM model to do some counting related tasks.
For documentation, please go to the wiki page.
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