That looks useful for getting insights into what is happening in a NN.
What is it visualizing in a convolutional layer, does it average all the channels, or select just one?
What is it visualizing in a convolutional layer, does it average all the channels, or select just one?
You can verify this by looking at the `nb_filters` key in the JSON description of the layer on the left and counting the amount of image maps on the right.
Visualizations can help, but more in the sense of rapidly iterating through bespoke visualizations to generate and test hypotheses. And to do that efficiently you don't need a slick tool that does one kind of visualization, you need a slick 'grammar' to efficiently build new visualizations with, Bret Victor style.
Sorry, I have to ask.. any relation to Dan Fortunato? Maybe that's just a really common name in Boston.