“[R]” “[D]” Visualization of intermediate steps of a Convolutional Neural Network
As Stanford Course(CS231n) (http://cs231n.github.io/understanding-cnn/), they have carried visualization of filters and first layer weights for images using Convolutional Neural Network (CNN). How can I create similar visualization of the same for
audio with Matplotlib using WaveNet? I want visualisation of samples after causal and dilated CNN. Are there any better tools for visualization of the same?