caffe
https://github.com/bvlc/caffe
C++
Caffe: a fast open framework for deep learning.
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- Issues
- Extra interfaces to use caffe operator from mxnet
- Dilated Pooling
- Does opencl for caffe support fp16?
- Add target (desired) loss value parameter.
- Data from lmdb has wrong dimensions; Check failed: datum_width >= crop_size (3 vs. 224)
- Quite a lot of warnings from boost when compile .cu with nvcc
- Add random resize to Data Transformer
- ILSVRC12 Caffe hosted mean, different than calculated mean
- add double-margin contrastive loss layer
- Caffe uses large quantities of GPU memory even when CPU mode is selected.
- Docs
- C++ not yet supported