 So, I already get to know some parts working on similar learning prompts, and it's always been an inspiring experience getting to know parts that work well with one another. What we usually find is every part will have some people that are great at math, some others that are great at coding, and some people who see the ethical social dimensions of the work that they are doing. Everyone in a well walking group helps the others learn and grow, and in a way everyone is having a great time. And that is the hope that I have for this year as well. So let me briefly say a few things that bear ladies off to be said, which is fast deep learning matters. Deep learning is state of the art and many if not most domains of machine learning. Most interesting computer vision prompts these days are solved with deep learning. Most natural language processing prompts are solved with deep learning. Same for time series processing. Same for reinforcement learning and so on and so forth. So deep learning is clearly a toolkit that everyone needs. I should also say that deep learning in lots of ways is machine learning. It might be a modern way of doing machine learning, but it inherits a lot of ideas from machine learning. So what does that mean? From the field of machine learning, it inherits ideas like regularization, ideas of how to establish success at solving a machine learning problem, the interface of machine learning with reality, it inherits ideas from statistics, and in general it inherits concepts about machine learning. That is why this course here has the prerequisite of having taken a course on machine learning. So we are extremely happy that you're joining us in this journey of trying to build a course that really brings deep learning in an accessible, inverted classroom approach to everyone. Now we want you to talk about your expectation with the ERPOD. And also if you're comfortable with that, please indicate where you're from so we can later on populate a cool map where all the participants in this course can see where they are on that world map. And please come back to this collab in about 10 minutes.