Comments (3)
We can have an example of a Siamese network
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.
and convolutional spatial transformer
That will be more work, but feel free to have a go.
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.
No worries, I'm quite busy myself currently!
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I'm going to expand the documentation sometime
Expand the documentation as in?
Would give a nice notebook.
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
That will be more work, but feel free to have a go.
I have done an implementation. I will share here soon. But do you think it would be better to have it Lasagne itself?
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Expand the documentation as in?
The general Lasagne documentation at lasagne.readthedocs.io, not the module/API documentation. The MNIST example leaves a lot of open questions.
But again, judging a paper as breakthrough or not is subjective and i'm not sure how it'd work
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.
But do you think it would be better to have it Lasagne itself?
Starting with a Recipe is always a good idea, that's a lower hurdle and we can migrate parts to Lasagne at any time.
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Related Issues (20)
- 3D UNet implementation HOT 7
- reason behind low value of parameters in VGG19 HOT 1
- error when set values for vgg-19 HOT 2
- modelzoo resnet50.py incompatible to Python 3 HOT 3
- no sandbox.cuda
- Bad argument to Theano: No. of dimensions changes in the error after reshaping
- Question not an Issue: fliping the arrays HOT 1
- cifar100 with resnet HOT 1
- pretrained network for small images HOT 1
- https://s3.amazonaws.com/lasagne/recipes/pretrained/imagenet/vgg16.pkl HOT 6
- vgg16.pkl without aws cli
- Need help with S3 Browser based downloads HOT 1
- Dice coeff is not changing since the first epoch and binary accuracy changes and is increased to 1?
- Problem with op.grad in OpFromGraph - Guided Backpropagation
- Wrong order of stride and pad arguments in build_simple_block HOT 3
- Broken links in Video features with C3D.ipynb example HOT 5
- Training C3D
- Wrong pretrained weights for UNet example HOT 1
- DICE coefficient loss function HOT 23
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