Using Lucid to Visualize Neural Networks

Neural networks are getting more complex than ever, and becoming harder and harder to understand. But the tools to enable understanding are also improving! We will dive into some of these tools to help build some intuition about what it is that drives the predictions that neural networks make. We will look at everything from the early days of visualizing neural network layers, all the way to the latest approaches, including the building blocks of interpretiability, Activatiton Atlases, and Differentiable Image Parameterizations. Understanding how neural networks "see" is the first step to really harnessing the creative power that they possess. It's a fun and crazy journey, but worth it!