Jason Xie jxieeducation

## Chainer - Define BY Run
Chainer (http://chainer.org/)

Chainer is intuitive because of its Define BY Run philosophy, as opposed to Define AND Run.

define-AND-run is when u define the whole network, and backpropagate according to what you defined.
define-BY-run is when the individual layers / building blocks remember their ancestors.
So as long as the matrix shapes line up, you can make up any architectures,
maybe even in an interactive shell for debugging, and still be able to perform forward / backward computation.
The key is that the building blocks remember their ancestors, and will backprop properly.

## ec2_gpu_theano.md

      
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                jxieeducation
                / ec2_gpu_theano.md
            
            
              Created
              October 21, 2015 04:24
                — forked from stevetjoa/ec2_gpu_theano.md
            
              
                Setup: Amazon AWS EC2 with NVIDIA CUDA GPU and Theano
              
          
    Setup: Amazon AWS EC2 with NVIDIA CUDA GPU and Theano

2015 Sep 22: nvidia-352 seems to have disappeared from the repos.

Spot request Ubuntu Server 14.04; add storage; login with ssh
sudo apt-get update
sudo apt-get upgrade
sudo apt-get dist-upgrade
sudo apt-get install git gcc g++ gfortran build-essential python-dev python-pip python-matplotlib python-scipy libhdf5-dev linux-image-extra-virtual
sudo pip install --upgrade pip


## github scrape
gets all repos
/repositories?since=:num
https://api.github.com/repositories?since=31000000

gets list of contributors for a repo
/repos/:org/:repo/contributors
/repos/:user/:repo/contrubotors
https://api.github.com/repos/dropbox/pyston/contributors

gets location, company, email of a user
	Chainer (http://chainer.org/)

	Chainer is intuitive because of its Define BY Run philosophy, as opposed to Define AND Run.

	define-AND-run is when u define the whole network, and backpropagate according to what you defined.
	define-BY-run is when the individual layers / building blocks remember their ancestors.
	So as long as the matrix shapes line up, you can make up any architectures,
	maybe even in an interactive shell for debugging, and still be able to perform forward / backward computation.
	The key is that the building blocks remember their ancestors, and will backprop properly.
	gets all repos
	/repositories?since=:num
	https://api.github.com/repositories?since=31000000

	gets list of contributors for a repo
	/repos/:org/:repo/contributors
	/repos/:user/:repo/contrubotors
	https://api.github.com/repos/dropbox/pyston/contributors

	gets location, company, email of a user