Automating Software Development with Deep Learning

Wallner: My name is Emil Wallner, I'm Swedish, and I'm currently studying computer science in Paris. You might have come across some of my open-source projects. I made the one that you mentioned earlier, the Screenshot-to-code, which was the most popular project on GitHub for almost a month. That's where I translate design markups into HTML and CSS. Another project I've done is coloring black and white photos with neural networks and [inaudible 00:00:30] made a short film about this project. Today, we're going to talk about software automation. The first step you need to take to start understanding this problem is to start looking at software development as data. A lot of people now, if you think about the tasks that we're given, say, design markups, or program descriptions, or meeting a client and trying to understand what their problems are, we see them as human problems that only we can relate to and understand, but more and more, we can start to treat these problems as data problems. To understand how this is possible, I'm just going to give you a short overview of the context. We've had traditional software that we're all used to.