This repository is one of my fun projects aimed at deepening my understanding of Machine Learning and gaining practical experience with Neural Networks. Specifically, I replicate the work introduced in the paper Neural Ordinary Differential Equations where the authors levrage ODEs (Ordinary Differential Equations) to introduce a new family of deep Nueral Networks.
For more information about this implementation, please refer to the original repository here.
I would like to express my gratitude to Udacity for their valuable tutorials as well as their deep learning course. Their course material was very useful in helping me grasp the basic concepts of PyTorch and the different architectures of Nueral Networks.
I am also thankful to Michael Nielsen for his free online book Neural Networks and Deep Learning.