Visualizing Information Transfer in Deep Learning Networks using Transfer Entropy

Transfer Entropy can be used to quantify information transfer between neural network layers and perform Information Plane analysis, providing insights into the learning dynamics and potential connections between compression and generalization in deep neural networks.