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Create ML - Image Classification

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@WWDC After Party 2018 at Ebisu

Publicada em: Tecnologia
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Create ML - Image Classification

  1. 1. “Any kid can do it. “ 👧👦 Create ML 🤖 Hanawa Takuro LIFULL Co., Ltd.
  2. 2. $Hanawa Takuro facebook.com/takuro.hanawa 🏢LIFULL Co.,Ltd. iOS Engineer / WWDC 🤵🌹Bachelor Japan
  3. 3. Image Classification 🌉 “ ”
  4. 4. Agenda • Preparing the data set 🌉 • Start training 🤖 • Export model 🖨 • Demo 💪
  5. 5. Preparing the data set 🌉 • • 10 
 ( 😇) • Use at least 10 images per label for the training set, but more is always better. Also, balance the number of images for each label.
  6. 6. Preparing the data set 🌉 • 299x299px • • The images don’t have to be the same size as each other, nor do they have to be any particular size, although it’s best to use images that are at least 299x299 pixels.
  7. 7. 😪 /
  8. 8. Preparing the data set 🌉 • ⭐ ImageNet: http://www.image-net.org/ • Open Images Dataset: https:// storage.googleapis.com/openimages/ web/index.html • Kaggle Datasets: https:// www.kaggle.com/datasets
  9. 9. Preparing the data set 🌉 • • • 1:9
  10. 10. Start training 🤖 • macOS 10.14+ • Xcode 10.0+ • macOS Target playground
  11. 11. Start training 🤖
  12. 12. 🙇
  13. 13. Export model 🖨
  14. 14. 🙇
  15. 15. / ❌ ❌❌ 😂
  16. 16. Demo 💪 Qiita: Create ML https://qiita.com/hanawat/items/63176648a52b5e0b985b Qiita: What’s New in Swift4.2 https://qiita.com/hanawat/items/4605f9e357c8794b58d7

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