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Implementation of Convolutional Spatial Transformer and Siamese network #107
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Yes, that would be useful. I'm going to expand the documentation sometime and plan to include a hint at how to do it, but a Recipe would be good as well. Maybe some silly toy example such as embedding MNIST digits into a 2D space such that items of the same class are closer together. Would give a nice notebook.
That will be more work, but feel free to have a go.
No worries, I'm quite busy myself currently! |
Expand the documentation as in?
I think we can try and have as many notebooks as possible of some of the breakthrough papers at a top-level conferences. But again, judging a paper as breakthrough or not is subjective and i'm not sure how it'd work
I have done an implementation. I will share here soon. But do you think it would be better to have it Lasagne itself? |
The general Lasagne documentation at lasagne.readthedocs.io, not the module/API documentation. The MNIST example leaves a lot of open questions.
We only have limited resources, we cannot implement everything -- people will implement the papers they are interested in or would like to expand on. So it'll always be subjective, but that's okay.
Starting with a Recipe is always a good idea, that's a lower hurdle and we can migrate parts to Lasagne at any time. |
We can have an example of a Siamese network (similar to Sander Dieleman's suggestion ) and convolutional spatial transformer as discussed here. From my understanding, the convolutional spatial transformer applies the ST on the feature, patchwise with distinct affine transformation parameters. I have implemented this very recently and will open a PR if you are fine with having these examples in the Recipes @f0k .
PS : I have a few PRs and issues open in Lasagne which I'm yet to resolve. The past two weeks were a bit hectic for me and I will try to resolve them by this weekend. Apologies
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