Comments (6)
Would there be interest in adding these recipes?
I guess so, yes! In what form would these recipes be? Ideally, I guess they'd construct the network in Python code, download and read the original model files (e.g., in matlab format for the first web site) and use set_all_param_values()
to set the parameters to the correct state. For demonstration purposes, they could compile a prediction function.
Not sure where to put such recipes, though... they could live in the "Examples" category or be given their own (something like a model zoo, although model fridge or model freezer might be more appropriate here).
from recipes.
I'm wondering if these should really be recipes. Maybe a small add-on library is better suited? Just a serving suggestion.
from recipes.
Since pretrained models are nearly all we have in Recipes so far, I think it's a pretty good fit :)
But maybe creating a new top level directory for models would make sense.
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Yeah, I think we should also keep them here, this is where people will come looking for them. A separate subdirectory for pre-trained models is not a bad idea.
from recipes.
A separate subdirectory for pre-trained models is not a bad idea.
I'm still sad we didn't go for food-related directory names: starters
(tutorials), mains
(papers), sides
(snippets), and now takeaway
(premade models).
from recipes.
there's no guarantee that this (remarkably well working) analogy will keep being productive though :p
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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
- Implementation of Convolutional Spatial Transformer and Siamese network 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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