Sometimes looking at the learned coefficients of a neural network can provide insight into the learning behavior. For example if weights look unstructured

A comparison of different values for regularization parameter ?alpha? on synthetic datasets. The plot shows that different alphas yield different

This example visualizes some training loss curves for different stochastic learning strategies, including SGD and Adam. Because of time-constraints

For greyscale image data where pixel values can be interpreted as degrees of blackness on a white background, like handwritten