Anchor explanations for ImageNet

In this section, we will build a Python Alibi program that will produce anchors for images. Alibi is a library that contains several XAI resources.

We will use images from ImageNet to run the explainer.

We will build the program in the following order:

1. Installing Alibi and importing the modules
2. Loading an InceptionV3 model
3. Downloading an image to explain
4. Processing the image and making predictions
5. Creating the anchor image explainer and displaying the visual explanations

Let's first install Alibi and import the modules.

Installing Alibi and importing the modules

To get started, open the Image_XAI_Anchor.ipynb notebook for this chapter. This notebook is in the chapter directory of this book.

We will first install Alibi as follows:

# @title Install Alibi
try:
  import alibi
except:
  !pip install alibi

If Alibi is installed, the program will continue. However, when Colaboratory...