caffe

• Caffe github

• Caffe-users Google Groups

1. List

2. Paper

3. Article (Post, blog, etc.)

3.1 installation

• 한글 설치 가이드: ubunt14.01

• Docker 이용하여 실행하기:영문

• Docker로 Caffe 실습하기

• Install Caffe With Anaconda

3.1 설명

• caffe framework 데이터 셋팅하기

• Caffe]Training LeNet on MNIST with Caffe

• pycaffe로 fine-tuning하기

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

• Caffe 처음 설치를 마친 사람들을 위한 정리

• training dataset with caffe

Youtube

• NVIDIA Deep Learning Course: Class #3 - Getting started with Caffe: 2015, 강의자료, Lab

Tutorial (Series)

• Official Caffe Tutorial

• Caffe intro & tutorial

• Notebook Examples

Material

• Caffe 실습: 추천, pdf

• Caffe BVLC tutorial slide

• Fast R-CNN Object detection with Caffe: pdf

• Fully Convilutional Layer-pixelwise prediction: pdf

Implementation

• First Sip of Caffe: BVLC 00-caffe-intro.ipynb

• Training Multi-Layer Neural Network with Caffe: 수치데이터 예제

• Cafee Github examples: 폴더내 Jupyter

  • 00: Classification: Instant Recognition with Caffe

  • 01: Solving in Python with LeNet

  • 02: Fine-tuning a Pretrained Network for Style Recognition

  • Brewing Logistic Regression then Going Deeper

  • detection_RCNN

  • Net Surgery

  • Multilabel classification on PASCAL using python data-layers

DIGIST

• DIGITS

• NVIDIA Deep Learning Course: Class #2 - Getting Started with DIGITS

• NVIDIADeveloper

• [랩실습] Image Classification with DIGITS