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Cleaned up structure
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Ben Evans authored and Ben Evans committed Nov 8, 2017
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Expand Up @@ -6,7 +6,7 @@ The key idea is to combine aspects from genetic programming and convolutional ne
to overcome various limitations of ConvNets, i.e.

- Need for manually crafted architectures
- Poor Interpretability (Although google brain appears to be doing some promising research in this area [here]("https://distill.pub/2017/feature-visualization/"), however a large limitation is still interpretability of feature interaction).
- Poor Interpretability. Although google brain appears to be doing some promising research in this area [here](https://distill.pub/2017/feature-visualization/), however a large limitation is still interpretability of feature interaction
- Require large amounts of training data

Future work will look at propagting gradients back through the tree, as seen with Convoultional neural networks
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