caffe
https://github.com/bvlc/caffe
C++
Caffe: a fast open framework for deep learning.
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- Issues
- [Python] release/acquire Global Interpreter Lock (GIL)
- Error when I used classification.bin to do Classification task
- misleading documentation for SoftmaxWithLossLayer
- "Extracting Features" example contains out-of-date references to LevelDB
- CIFAR-10 NET caffe example returns the same output to any image after classification
- Smoothed loss becomes negative while loss is always positive
- Bug fix: layer with AutoTopBlob can break Python net.outputs
- Fix predict(..oversample=False) to use integer slices.
- CUDA_POST_KERNEL_CHECK doesn't check errors after kernel execution
- ImageDataLayer minor refactor and optimization
- Docs
- C++ not yet supported