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Tasfia Model #106

Description

@jnnchi
  • Finish infrastructure to have use unlabeled training followed by labeled fine-tuning (using ResNet)
  • Begin unlabeled training + labeled training
  • Work on implementing some of the features from the other streams of the project, including LR scheduling, and perhaps L2 regularization
  • Think about whether we want to be training on unlabeled augmented data, or only original. This will be a semi-complex question to answer. Refer to the research, if they have augmented their data.

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