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Using the What-If Tool with Image Recognition Models

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Using the What-If Tool with Image Recognition Models

1시간 크레딧 5개

GSP710

Google Cloud Self-Paced Labs

Overview

In this lab, you explore the use of the What-If Tool (WIT) for image recognition models. Your task is to predict whether a person is smiling. The lab provides a CNN (Convolutional Neural Network) that is trained on a subset of CelebA dataset and visualizes the results on a separate test subset.

Objectives

In this lab, you will perform the following tasks:

  • Launch an AI Platform Notebook.

  • Download the pre-trained Keras model.

  • Define helper functions for dataset conversion from csv to tf.

  • Load the csv file into pandas dataframe and process it for WIT.

  • Load the Keras models.

  • Define the custom predict function for WIT.

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
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