Novel applications
So far in this book, we have seen numerous applications of deep learning in areas of text mining, computer vision, and multi-model learning. However, the ability to learn powerful, generalized representations of data has led to a recent surge in the number of new application domains for deep learning. These application areas range from healthcare, to software engineering, to computer systems organizations. In this section, we will look at some of the interesting novel applications of deep learning in these domains.
Genomics
One of the interesting application areas of deep learning is genomics, where advanced CNN models are used to learn structure from large and high-dimensional DNA datasets. One of the earliest applications in this space was using handcrafted features with the full connected feed forward neural network for predicting the splicing activity of an exon. Recently, a new technique has been proposed in the form of an open source implementation called Basset:...
