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modified version of caffe which is used for autoencoder

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Caffe

This is modified version of caffe(https://github.com/BVLC/caffe) which support following architectures. 0. Deconvolution Network: Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh, Seunghoon Hong, Bohyung Han [http://arxiv.org/abs/1505.04366] 0. Decoupled Network: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation Seunghoon Hong, Hyeonwoo Noh, Bohyung Han [http://arxiv.org/abs/1506.04924]

Cudnn

cudnn R1 - ONLY could build with R1

CUDA

cuda 7.5

Build by CPU mode

BVLC/caffe#1284

Python related issue on centos: BVLC/caffe#1284

Build by GPU mode

https://github.com/BVLC/caffe/wiki/Install-Caffe-on-EC2-from-scratch-(Ubuntu,-CUDA-7,-cuDNN-3)

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modified version of caffe which is used for autoencoder

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  • C++ 82.4%
  • Python 8.2%
  • Cuda 5.0%
  • CMake 1.5%
  • Protocol Buffer 1.3%
  • Makefile 0.7%
  • Other 0.9%