Train-Wreck

Using a Generative Adversarial Network we can generate a mock data set from a secure data source. Using that mock data, we are able to train a predictive model to predict if a tissue is cancerous.

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What it does

This project generates a mimic dataset using a GAN.

How we built it

We used Keras and Tensorflow in Python.

Challenges we ran into

We were all pretty inexperienced with AI.

What we learned

We learned about ML, specifically how GANs are structured.

What's next for Train-Wreck

Get a better understanding of neural networks and revisit this project to improve its performance.

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