Eigen-CAM: Class Activation Map using Principal Components

Understand

Deep neural networks are ubiquitous due to the ease of developing models and their influence on other domains.

• At the heart of this progress is convolutional neural networks (CNNs) that are capable of learning representations or features given a set of data.
• Making sense of such complex models (i.e., millions of parameters and hundreds of layers) remains challenging for developers as well as the end-users.
• This is partially due to the lack of tools or interfaces capable of providing interpretability and transparency.