Hands-On Machine Learning for Algorithmic Trading

Photo-realistic image super-resolution

Super-resolution aims at producing photo-realistic higher-resolution images from low-resolution input. GANs applied to this task have deep CNN architectures that use batch normalization, ReLU, and skip connection as encountered in ResNET (see Chapter 18, Recurrent Neural Networks) to produce impressive results that are likely to find commercial application.