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README.md
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DNC: Differentiable Neural Computer
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=======
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See [blog post](https://greydanus.github.io/2017/02/27/differentiable-memory-and-the-brain/)
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Implements DeepMind's third nature paper, [Hybrid computing using a neural network with dynamic external memory](http://www.nature.com/nature/journal/v538/n7626/full/nature20101.html) by Graves et. al.
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![Repeat copy results](static/repeat_copy_results.png?raw=true)
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@ -9,15 +11,6 @@ Based on the paper's appendix, I sketched the [computational graph](https://docs
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I got the repeat-copy task to work ([Jupyter notebook](https://nbviewer.jupyter.org/github/greydanus/dnc/blob/master/repeat-copy/repeat-copy-nn.ipynb))
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_This is a work in progress_
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--------
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I have a general framework and a couple Jupyter notebooks for debugging. This is not a finished project. It's still very much in the dev stage. I need to:
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1. write unit tests
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2. improve documentation/comments
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3. run it on more difficult tasks
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4. add some nice visualizations
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Dependencies
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--------
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* All code is written in python 2.7. You will need:
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