Directory

老师给的3个文件，一个介绍Caffe，一个介绍GPU账号软件，还有一个介绍Python，要这周看一下下周聊一聊，现在已经是周日晚上10点了。。。赶紧看。

PS:感觉课程很紧，任务还蛮重的，现在还是第一周啊。

Motivation and comparisons

• 简单介绍了Deep Learning。
  • What is Deep Learning?
  • Why Deep Learning?
    • The Unreasonable Effectiveness of Deep Features.
  • History of DL.
• 与其他的Frameworks比较 _ (我一个也不了解)_
  • Torch7
  • TensorFlow
  • Theano/Pylearn2
  • Cuda-Convnet2
  • MatConvNet
  • CXXNet
  • Marvin
• What is Caffe?
  • Open Frameworks,models,and worked examples for deep Learning.
  • Pure C++/CUDA architecture for deep Learning
  • Fast, wll-tested code
  • Tools, reference models, demos, and recipes
  • Seamless switch between CPU and GPU
• Caffe Tutorial http:/caffe.berkeleyvision.org/tutorial/
• Caffe offers the
  • model definitions
  • optimization settings
  • pre-trained weights
  • Installation http://caffe.berkeleyvision.org/installation.html

Training/Finetuning a simple model

Deep dive into Caffe!