Youβre reading an excerpt of Making Things Think: How AI and Deep Learning Power the Products We Use, by Giuliano Giacaglia. Purchase the book to support the author and the ad-free Holloway reading experience. You get instant digital access, plus future updates.
Deep learning is a revolutionary field, but for it to work as intended, it requires data.* The term for these large datasets and the work around them is Big Data, which refers to the abundance of digital data. Data is as important for deep learning algorithms as the architecture of the network itself, the software. Acquiring and cleaning the data is one of the most valuable aspects of the work. Without data, neural networks cannot learn.*