In the world we live in today, stickers and emojis play a huge role in the way we express our thoughts and emotions. In order to incorporate our mode of expression with our passion for machine learning, we designed a unique and random sticker generator capable of learning.
What it does
TWO NETWORKS Generator - sends noise Discriminator - receives image from generator or real world image while providing accuracy value. GOAL: Train generator to create images capable of “fooling” discriminator and producing an accuracy value around 0.5.
How we built it
We used python, html, and machine learning!
Challenges we ran into
debugging, finding enough photos to train the generator
Accomplishments that we're proud of
It actually works
What we learned
Teamwork makes the dream work
What's next for Stickers
Clearer and bigger stickers