TensorFlow Dance – Learning to Dance via Machine Learning

Abstract: You might not consider yourself a good dancer. You might not even want to bother trying to learn to dance. But all that does not really matter when machine learning gets involved! Yaz will discuss the recent advances in conditional adversarial networks that make generating videos of you dancing really well now possible. And, of course, there will be a live demo with potential audience participation.

Bio: Despite working in cloud and machine learning, Yaz believes creativity or power is still not measured in terms of numbers of GPUs or scalable servers. While appreciating what they can do, he remains a steadfast fan of human learning. In fact, he organises the largest number of TensorFlow events in the world. Usually in a hack format, participants not only share what they have learned, they also draw inspiration from each other and build projects together.