Deep Learning Packages Intro.¶

• [손고리즘] middle learning - 파이썬을 이용한 기계학습 알고리즘 기초
• 김무성

theano & caffe¶

1. theano¶

• Intro
• Tutorial – Learn the basics
• Deep Learning Tutorials Using theano
• Related-projects

1.1 Intro¶

http://deeplearning.net/software/theano/

• Theano and PyLearn - http://hunch.net/~nyoml/theano.pdf
• Theano and PyLearn future plans - http://hunch.net/~nyoml/theano_2.pdf
• Colin Raffel tutorial on Theano - http://deeplearning.net/software/theano/
• Theano Tutorials Session 1 - https://drive.google.com/file/d/0B64011x02sIkdDB5MmdnRnNTbWc
• Theano Tutorials Session 2 : Advanced usage - https://drive.google.com/file/d/0B64011x02sIkOVpPY1B2WmVYa3c
• Theano Tutorials Session 3 : Internals - https://drive.google.com/file/d/0B64011x02sIkWW9LLVV6QWtzRTg

1.2 Tutorial – Learn the basics¶

http://deeplearning.net/software/theano/tutorial/index.html#tutorial

1.3 Deep Learning Tutorials Using theano¶

http://www.deeplearning.net/tutorial/

1.4 Related-projects¶

https://github.com/Theano/Theano/wiki/Related-projects

2. caffe¶

• Intro
• Tutorial
• EXamples

2.1 Intro¶

http://caffe.berkeleyvision.org/

• web demo - http://demo.caffe.berkeleyvision.org/
• DIY Deep Learning for Vision with Caffe : Tutorial presentation - https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p

2.2 Tutorial¶

• Tutorial Documentation : Practical guide and framework reference - http://caffe.berkeleyvision.org/tutorial/
• Installation instructions : Tested on Ubuntu, Red Hat, OS X - http://caffe.berkeleyvision.org/installation.html
• Model Zoo - https://github.com/BVLC/caffe/wiki/Model-Zoo

2.3 Examples¶

• ImageNet tutorial : Train and test "CaffeNet" on ImageNet data - http://caffe.berkeleyvision.org/gathered/examples/imagenet.html
• ImageNet classification : Use the pre-trained ImageNet model to classify images with the Python interface - http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/classification.ipynb