Hendrick de Haan

Neural Networks Trained to Solve Differential Equations Learn General Representations

We introduce a technique based on the singular vector canonical correlation analysis (SVCCA) for measuring the generality of neural network layers across a continuously-parametrized set of tasks. We illustrate this method by studying generality in neural networks trained to solve parametrized bounda…