Caffe Study and Summary 1

Why do you learn Caffe? Because through the Caffe can comprehensive study deep Learning,cuda,spark (Caffeonspark), cudnn,openblas,mkl,c++,python,linux and other knowledge. Before installing Caffe, it is important to install Cuda,blas and so on, CuDNN and Python are optional. Caffe detailed installation procedures refer to [the].

What is Caffe (convolutional Architecture for Fast Feature embedding)? In short, Caffe is primarily a deep learning framework for CNN, which can be used for pattern recognition, graphic images, machine vision and other applications.

1. Directory Structure of Caffe

Reference documents:

[1] Setting up a deep learning machine from Scratch (software): Https://github.com/saiprashanths/dl-setup#caffe

[2] caffe:http://caffe.berkeleyvision.org/

[3] Caffe:https://github.com/bvlc/caffe

[4] Know Caffe:http://www.zhihu.com/search?type=content&q=caffe

[5] Caffe--deep learning in practice:http://blog.csdn.net/abcjennifer/article/details/46424949

[6] Caffe Deep Learning Framework Tutorial: http://www.open-open.com/lib/view/open1421995285109.html

[7] Caffe demos:http://demo.caffe.berkeleyvision.org/

[8] yangqing Jia (Jiayanqing): http://daggerfs.com/

Caffe Study and Summary 1