caffe
https://github.com/bvlc/caffe
C++
Caffe: a fast open framework for deep learning.
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- Issues
- Remove obsolete loss layer check
- Feature request: add a functionality to return number of parameters and number of flops
- Not all MNIST examples work.
- Add new orthogonal weight filler (initializer)
- Always link to the local libcaffe.so under ./build/lib
- Document exception, add details to exception message in _Net_forward
- In-place computation can break gradient computation
- Cublas error running ./example/imagenet/create_example.sh on CentOS 6.6 with Tesla K80
- Caffe train fails when encountering an image that can't be loaded
- ImageDataLayer enhancement: images as labels
- Docs
- C++ not yet supported