Good day

everyone.

Welcome to lecture four of the seminar in advances in deep learning for time series.

Today we will talk about time aware models.

My name is Jithin.

I am a PhD student at the machine learning and data analytics lab at FAU.

This seminar is offered in cooperation with PUCV and Professor Luffler and on the FAU

team, Dr. Zanka is also part of the team.

This is just some organizational information which you all must be already aware of.

These are the topics overview for the seminar.

But however, we will today talk about time aware models.

The lecture outline is time aware models.

And we will talk about ordinary differential equations

residual networks and ODE net

back propagation in ODE net and application of ODE net on time series.

I hope you enjoy this lecture.

And let's start with talking about time aware models.