Caffe Introduction

Caffe website CS231n Caffe Tutorial

Structure of Caffe

- **Blob**: Stores data and derivatives 
- **Layer**: Transforms bottom blobs to top blobs 
- **Net**: Many layers; computes gradients via forward backward 
- **Solver**: Uses gradients to update weights

Steps to run Caffe

- Convert the data to Caffe-format lmdb, leveldb, hdf5 / .mat, list of images, etc. 
- Define the Net
- Configure the Solver
- caffe train -solver solver.prototxt -gpu 0

How to do fine-tuning

  • Download the train and val data
  • Transfer them as the input style (jpeg to txt to HDF5)

  • Register on VOC and Download the test data and transfer

  • Make a network structure

  • Make a solver

  • Run ./build/tools/caffe train -solver models/VGG_ILSVRC_16_layers/solver.prototxt -weights models/VGG_ILSVRC_16_layers/VGG_ILSVRC_16_layers.caffemodel -gpu 0

Fine-tuning CaffeNet for Style Recognition on “Flickr Style” Data

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