Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics

Biye Jiang, David M. Chan, Tianhao Zhang +1

The internal states of most deep neural networks are difficult to interpret, which makes diagnosis and debugging during training challenging. Activation maximization methods are wi…