Within three years deep learning will change front-end development. It will increase prototyping speed and lower the barrier for building software.
The field took off last year when Tony Beltramelli introduced the pix2code paper and Airbnb launched sketch2code.
Currently, the largest barrier to automating front-end development is computing power. However, we can use current deep learning algorithms, along with synthesized training data, to start exploring artificial front-end automation right now.
In this post, we’ll teach a neural network how to code a basic a HTML and CSS website based on a picture of a design mockup. Here's a quick overview of the process:
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