Technical requirements
Here are the packages you will need for the example walk-through:
- Lime – An open source Python library to explain ML models
- scikit-image – An open source Python image-processing library
- Matplotlib – A plotting library for creating data visualizations
- NumPy – An open source library that provides mathematical functions when working with arrays
- pandas – A library that offers data analysis and manipulation tools
- Keras – An open source library that provides an API interface for neural networks
- TensorFlow – An open source framework for building deep learning applications
A sample Jupyter notebook and a requirements file for the package dependencies discussed in this chapter are available at https://github.com/PacktPublishing/Deep-Learning-and-XAI-Techniques-for-Anomaly-Detection/tree/main/Chapter6.
You can experiment with this example on Amazon SageMaker Studio Lab, https://aws...