It is inspired by:
- keras's caffe branch
- https://github.com/pfnet/chainer/blob/master/chainer/functions/caffe (functions and examples)
- https://gist.github.com/baraldilorenzo (VGG16 model for Keras)
- https://github.com/mitmul/chainer-imagenet-vgg
Example:
please browse the examples directory
-
Python:
- keras
- google.protobuf
-
caffe:
- caffe's python lib (
caffe/python
)
- caffe's python lib (
-
1.Some function in
load_caffe_params
andsave_weights
which I think is Inefficient. -
2.The Proto2Keras is combine keras's caffe branch and chainer's caffe function, which some of them unfamiliar for me. So I just keep it.
-
3.The last and most import is I test this in a very very few example, and certainly there are a lot of bugs. So feel free to contact me(heyflypigATgmail.com), I am a newbie to DeepLearning.