How to use the deep neural network to automatically color the picture, this paper introduces the open source neural network picture coloring technology, analyzes the core technology of deep learning will automatically color, and realizes the effect of PS for several months in a few seconds.
Nowadays, coloring is done manually by Photoshop. It takes a few months for a picture to be completed. It takes a lot of research and research. One of the faces requires up to 20 layers. However, the automatic coloring robot based on deep neural network can achieve the effect of PS for several months in a few seconds, and the effect is more and more amazing.
Below, we will show you how to build your own shading neural network in three steps. The first part explains the core logic. We will build a 40-line code neural network, as an "Alpha" coloring robot, this code snippet doesn't actually have much magic, but it will familiarize you with the basics.
Then we will create a neural network that can be generalized - the "Beta" version. Beta robots can color images that have not been seen before.
Finally, we combine the neural network with a classifier to get the "final" version. We will use the 1.2 million images of the IncepTIon Resnet V2. In order to make the coloring effect eye-catching, we will use the image of Unsplash (free gallery, the picture inside is very artistic and design) as data to train our neural network.
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