caffe
https://github.com/bvlc/caffe
C++
Caffe: a fast open framework for deep learning.
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- Issues
- Efficient Net, GPipe or Amoeba Net implementation for Caffe?
- Make all does not work with gcc/g++ 4.8.5 at ubuntu 18.04
- getting loss of zero while training ssd 300x300 in kitti dataset
- Modify individual learning rates for each neuron.
- Where is Caffe header file and library file after installation?
- Is that possiable dropping boost dependencies via using full C++11 features?
- Compilation error (make all)
- Data Layer/Transform performance improvement for high number of channels
- Original Python Loss Layer in Caffe is not working.
- Fixed running Caffe build with CUDA and CUDNN on hardware without GPU
- Docs
- C++ not yet supported