Machine Learning, Artificalintelligence, Deep Learning, Technology, Programming.
require fewer parameters than resnets because the network dynamics changed smoothly with depth. The table below shows test accuracies for a classification task, ODE net achieving the same test accuracy with about a third of the parameters as resnets. Performance on MNIST Key takeaways for ODE nets