Install Caffe on Amazon EC2 g2.2xlarge instance

ec2_caffe

#! /bin/bash

# Upgrade
sudo aptitude update
sudo aptitude full-upgrade -y

# Install CUDA
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_6.5-14_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1404_6.5-14_amd64.deb 
sudo aptitude update
sudo aptitude install -y linux-image-extra-virtual
sudo aptitude install -y cuda # Takes a lot of time
echo 'export PATH=/usr/local/cuda/bin:$PATH' >> .bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/lib:$LD_LIBRARY_PATH' >> .bashrc
source .bashrc
sudo reboot

# Caffe dependencies
sudo apt-get install libatlas-base-dev
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev
sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler

# CuDNN
cd cuDNN # Replace with CuDNN path
sudo cpcudnn.h /usr/local/include
sudo cp *so* /usr/local/lib
sudo cp libcudnn_static.a /usr/local/lib

# Clone and install Caffe
sudo apt-get install git
git clone https://github.com/BVLC/caffe.git
cd caffe
cp Makefile.config.example Makefile.config
make all -j8
make test -j8
make runtest # Checks whether it's all OK

Small mistake sudo cpcudnn.h /usr/local/include -> sudo cp cudnn.h /usr/local/include ?

But how about a CNN path?

I expect you are going to build a phenomenal product.