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\subsection{Tools Used}  We explored the usage of several deep learning packages - Caffe, Tensor Flow(Keras) and Theano (Keras). We initially decided to use Caffe given the extensive availability of popular training Deep-learning models on the platform. However, we had difficulty setting up Caffe to work on local and cloud machines. We were finally able to setup the VGG model on Keras[] with Theano\cite{Bastien-Theano-2012} \cite{Bastien-Theano-2012}as as  the backend. We were successfully able to convert the VGG model on Caffe to work with Keras and were successful in validating the model with various random test images. \subsection{Approach}