caffe
https://github.com/bvlc/caffe
C++
Caffe: a fast open framework for deep learning.
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- Issues
- infogain_loss_layer for 2D output
- LSTMs do not care about input data.
- Training a network using an existing model for weights - do I need to rename the last layer if data is similar?
- Deep compression with Caffe
- ImportError: cannot import name BytesIO
- make runtest segfaulting
- dyld: Library not loaded: @rpath/libcudart.6.0.dylib But I've installed CUDA 7.5 in my macbook
- Test with batch size 10 without lmdb or leveldb
- Handle filesystems without lock support. NFS can be setup this way.
- Issue while 'sudo make matcaffe' from caffe root directory
- Docs
- C++ not yet supported