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Using the What-If Tool with Image Recognition Models
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.
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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