![]() The next step is to create a neural network that can generalize - our “Beta” version. There’s not a lot of magic in this code snippet - which is helpful so that we can get familiar with the syntax. We’ll build a bare-bones 40-line neural network as an “Alpha" colorization bot. The first section breaks down the core logic. I’ll show you how to build your own colorization neural net in three steps. Yet, if you’re new to deep learning terminology, you can read my previous two posts and watch Andrej Karpathy’s lecture for more background. ![]() A face alone needs up to 20 layers of pink, green and blue shades to get it just right. In short, a picture can take up to one month to colorize. To appreciate all the hard work behind this process, take a peek at this gorgeous colorization memory lane video. ![]() Today, colorization is done by hand in Photoshop. First off, let’s look at some of the results/failures from my experiments (scroll to the bottom for the final result). I was fascinated by Amir’s neural network, so I reproduced it and documented the process. They were astonished with Amir’s deep learning bot - what could take up to a month of manual labour could now be done in just a few seconds. Ready to build, train, and deploy AI? Get started with FloydHub's collaborative AI platform for free Try FloydHub for freeĮarlier this year, Amir Avni used neural networks to troll the subreddit /r/Colorization - a community where people colorize historical black and white images manually using Photoshop.
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