caffe
https://github.com/bvlc/caffe
C++
Caffe: a fast open framework for deep learning.
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- Issues
- Generalize bilinear interpolation filler to N-D multilinear/multicubic/lanczos filler
- Fix GPU build using MKL as BLAS library.
- caffe: model definition: write same layer with different phase using python
- EltwiseLayer supports in-place computation for SUM op
- Stochastic pool: Implemented padding and CPU support
- BiasLayer backward speedup: do backprop to the bias with GEMVs [don't merge]
- Caffe Consume All RAM
- Add interface to input data layers (lmdb/leveldb/hdf5 etc.) to query dataset size
- Adding regression example using Euclidean Loss
- Missing image checking has been updated in Flickr Style data downloader
- Docs
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