Deep learning models are the typical models of this big data era. They are data hungry; nowadays, there is tons of data to be processed. Also, they are computational requesting compared to the traditional linear regression models; older computers were not able to train useful networks. They only turned out to be feasible after the development of the first backpropagation algorithms, along with some computational advancements.
One of the first NN breakthroughs that earned great respect in the community was the outstanding performance achieved by a Deep Convolutional Neural Network during the LSVRC-2010 contest. Such a contest aimed to classify 1.2 million high-resolution images into 1,000 different classes.
Back in those days, such a model took around...