TensorFlow Dance – Learning to Dance via Machine Learning
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.

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google