Advanced Deep Learning with Keras

Autoencoders
There are some noticeable wrong predictions like red vehicles have become blue
or blue vehicles become red, and the occasional green field has been mistaken
as blue skies, and dark or golden skies are converted to blue skies.
Figure 3.4.2: Automatic grayscale to color image conversion using the autoencoder. CIFAR10 test
grayscale input images (left) and predicted color images (right). Original color photo can be found on the
book GitHub repository, https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras/blob/
master/chapter3-autoencoders/README.md.
Figure 3.4.3: Side by side comparison of ground truth color images and predicted colorized images. Original
color photos can be found on the book GitHub repository, https://github.com/PacktPublishing/Advanced-
Deep-Learning-with-Keras/blob/master/chapter3-autoencoders/README.md.
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