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README.md
UdacityML-CapstoneProposal.pdf
UdacityML-CapstoneReport.pdf
dogs-vs-cats.ipynb
vgg16.py

README.md

You can acquire the dataset for this project from here:

https://www.kaggle.com/c/dogs-vs-cats-redux-kernels-edition/data

I'm using Keras library and Theano as the backend.

As I'm taking the deep learning course provided by Fast.ai, that's why some of my methodologies and techniques are inspired from there and I'm also using the Vgg16.py library that they provided. You can find the link to that libraray here.
It is basically the same class/functionality that Keras provides but here, we are loading the weights that have been precalculated for us based on the Imagenet dataset.

Link to the capstone propsal review