Part 1, online study group

Part 1 (2019)
98

Meeting Notes 11-01-2020

  • Announcement about restart of cadence (starting Lesson 2) by @shahnoza

  • Lesson 2 review by @gagan

    • Classifier for pen vs pencil followed by questions. @gagan actually timed it starting from data collection to the inference & time taken is 23 min to demonstrate fastai is really FAST AI :slight_smile: . (@gagan++) Colab

    • Conceptual Framework of Supervised Learning (Gradient, Parameters, Loss, Model, Observations, Targets) by @msivanes for lesson2 - sgd.

  • Projects Showcase

    • Bengaliai - kaggle competition by @danny Kaggle
    • Car Classifier along with showing EarlyStopping & SaveBestModels callback during training by @tendo. Colab

Advice

  • Stacked transfer learning - use fine tuning on smaller 224 images (fine tuned) followed by using actual image size data (fine tuned)

Discussion

  • Class Imbalance : Is it still valid when we use transfer learning?. It might due to the fine tuning. The best thing to do is try it out as Jeremy said.

  • num_workers : number of cpu cores to speed up the data grabbing process. If you are get out of memory error, reduce num_workers to a smaller number or reduce the batch size(bs).

Resources

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