Inspiration
Needed a toy problem to learn fast.ai with
What it does
Classifies food
How I built it
Using the fast.ai library and google colab
Challenges I ran into
- Misclassified training data
- Missing categories (e.g. coconuts)
- Disconnects from google colab
- Couldn't figure out what a good image size was for the chosen network structures
Accomplishments that I'm proud of
Only took a few hours for the setup and first classification. #1 ranking at the original deadline. Was able to try a few known structures, like resnet and xresnet.
What I learned
Libraries can be awesome. Deep learning is complicated.
What's next for Jay's 2019 Picnic
Trying resnext
Built With
- fast.ai
- google-colab
- pytorch
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