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Joseph Model #102

@jnnchi

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@jnnchi
  • Research any other ways we are able to train higher up the network–perhaps try out a higher degree of augmentation (50-70%), with two unfrozen layers and a low LR.
  • Calculate F1 score to measure model accuracy
  • Look into more ways we can improve our network. I don't necessarily think that means more “features” on top of the architecture we already have, but perhaps different ways to pass in data, etc.
  • Feel free to try your model architecture using EfficientNet.

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