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@zeryx
Created January 14, 2020 22:52
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Already done

  • ResNet 18 - Image Classification - ImageNet (not available for tensorflow)
  • ResNet 50 - Image Classification - ImageNet

Suggestions

  • MobileNet v2 - Image Classification
    • Why
      • Small architecture, and available on all platforms (including tensorflow)
      • Common vanilla model for edge devices (smart phones, etc)
    • Why Not
      • Not too different from ResNet 18
  • VGG 16 - Image Classification
    • Why
      • Classic deep learning archiecture
      • Available in all model zoos
      • Fewer layers than ResNet 18 or 50, but significant more parameters
    • Why Not
      • Not dramatically different from classic image processing
      • Doesn't expose us to more varied architectures
  • DenseNet 121 - Image Classification
    • Why
      • Modern deep learning architecture
      • Smaller footprint than ResNet 50
      • Available in all model zoos
    • Why Not
      • Not dramatically different from classic image processing
  • BERT - Machine Comprehension
    • Why
      • Interesting new architecture, lots of customer asks
      • Different architecture, uses attention
      • GPU utilization is wholy different from CNNs
    • Why Not
      • Not available in the vanilla model zoos in pytorch/tensorflow
      • May be somewhat tricky to make an apples/apples comparison as architecture requires custom layers
  • Faster RCNN - Image Object Detection
    • Why
      • Common image problem type
      • Common model architecture
      • Available on all model zoo's
    • Why Not
      • Not dramatically different from image classification in terms of compute flow
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