Software Radio is hard, lets just teach machines to do it for us. They do pretty much everything else better than us already anyway. This talk will present an overview of recent work applying Machine Learning, especially deep neural networks, to learning in the radio spectrum on top of GNU Radio. Teaching machines to control, sense, and otherwise interact with the radio spectrum faster and more effectively than our handcrafted or manual methods.