Inspiration

We don't know anything about neural networks. Images are cool and can be solved with neural networks.

What it does

Classifies cats and dogs.

How we built it

We (Huey) used Tensorflow.

Challenges we ran into

There is lots of math involved (also lots of technical issues with getting different packages/datasets to integrate)

Accomplishments that we're proud of

Almost 84% accuracy (!!!) also we learned a lot.

What we learned

We learned a LOT about how to make CNNs and the math behind it. We came in without knowing much about image classification and Neural Networks so this was an interesting project

What's next for Perry Spectacles

Add more layers. Continue to explore and pursue our curiosity in data science while trying to think of new projects to succeed in.

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