Auto-generating websites with deep learning
from Linear Digressions Hosted by Katie Malone
We've already talked about neural nets in some detail (links below), and in particular we've been blown away by the way that image recognition from convolutional neural nets can be fed into recurrent neural nets that generate descriptions and captions of the images. Our episode today tells a similar tale, except today we're talking about a blog post where the author fed in wireframes of a website design and asked the neural net to generate the HTML and CSS that would actually build a website that looks like the wireframes. If you're a programmer who thinks your job is challenging enough that you're automation-proof, guess again... Link to blog post: https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/
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