Topic 1 Question 92
You work as an ML engineer at a social media company, and you are developing a visual filter for users’ profile photos. This requires you to train an ML model to detect bounding boxes around human faces. You want to use this filter in your company’s iOS-based mobile phone application. You want to minimize code development and want the model to be optimized for inference on mobile phones. What should you do?
Train a model using AutoML Vision and use the “export for Core ML” option.
Train a model using AutoML Vision and use the “export for Coral” option.
Train a model using AutoML Vision and use the “export for TensorFlow.js” option.
Train a custom TensorFlow model and convert it to TensorFlow Lite (TFLite).
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コメント(11)
- 正解だと思う選択肢: A
https://cloud.google.com/vision/automl/docs/export-edge Core ML -> iOS and macOS Coral -> Edge TPU-based device TensorFlow.js -> web
👍 9pshemol2022/12/20 - 正解だと思う選択肢: D
TensorFlow Lite is a lightweight version of TensorFlow that is optimized for mobile and embedded devices, making it an ideal choice for use in an iOS-based mobile phone application.
👍 2mil_spyro2022/12/17 - 正解だと思う選択肢: A
A "You want to minimize code development" -> AutoML
👍 2hiromi2022/12/19
シャッフルモード