Understanding Neural Networks

Kyle and Alex explain how neural networks can accurately model nonlinear phenomena using the Koopman framework, providing noise robustness and simplifying the prediction process. They also discuss the dynamical systems perspective and how the neural network acts as a transformation back into the original variables.