automated GPU setup installation

gpu_setup.sh

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+# Do everything as root just to make things easier
+sudo su
+
+# Update the GPU and say 'yes' to any questions
+apt-get update && apt-get -y upgrade
+
+# Not sure what this is trying to install
+apt-get -y install linux-headers-$(uname -r) linux-image-extra-`uname -r`
+
+# Get and install CUDA
+wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.5-18_amd64.deb
+dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb
+
+# Upgrade/install again specifically for CUDA
+apt-get update -y
+apt-get install -y cuda
+
+# Get and install CUDNN
+CUDNN_FILE=cudnn-7.0-linux-x64-v4.0-prod.tgz
+wget http://developer.download.nvidia.com/compute/redist/cudnn/v4/${CUDNN_FILE}
+tar xvzf ${CUDNN_FILE}
+
+cp cuda/include/cudnn.h /usr/local/cuda/include
+cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
+chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
+
+echo 'export CUDA_HOME=/usr/local/cuda
+export CUDA_ROOT=/usr/local/cuda
+export PATH=$PATH:$CUDA_ROOT/bin:$HOME/bin
+export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_ROOT/lib64
+' >> ~/.bashrc
+
+# Install Anaconda
+# Python will break if you try to put it in /root, so use /mnt/bin instead
+mkdir -p /mnt/bin
+wget http://repo.continuum.io/archive/Anaconda3-4.0.0-Linux-x86_64.sh
+bash Anaconda3-4.0.0-Linux-x86_64.sh -b -p /mnt/bin/anaconda3
+echo 'export PATH="/mnt/bin/anaconda3/bin:$PATH"' >> ~/.bashrc
+
+# Turn on bash profile to activate the PATH variables from above
+exec bash
+
+# Download and install TensorFlow binary (way easier than using source)
+export TF_BINARY_URL='https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.9.0rc0-cp35-cp35m-linux_x86_64.whl'
+/mnt/bin/anaconda3/bin/pip install $TF_BINARY_URL
+
+# Install git so you can clone your repo and then run your code
+apt-get install -y git
+
+# Get data training and validation data
+wget https://s3.amazonaws.com/self-driving-car/final_processed_data_3_channels.npz