Deep Learning Essentials

Model visualization

One of the important aspects of a CNN is that once it's trained, it learns a set of feature maps or filters, which act as feature extractors on natural scene images. As such, it would be great to visualize these filters and get an understanding of what the network has learned through its training. Fortunately, this is a growing area of interest with lots of tools and techniques that make it easier to visualize the trained filters by the CNN. There are two primary parts of the network that are interesting to visualize:

• Layer activation: This is the most common form of network visualization where one visualizes the activation of neurons during the forward pass of the network. This visualization is important for multiple ...