What is AutoML?
During the previous chapters we have introduced several models used in modern machine learning and deep learning. For instance, we have seen architectures such as Dense networks, CNNs, RNNs, Autoencoders, and GANs.
Two observations are in order. First, these architectures are manually designed by deep learning experts, and are not necessarily easy to explain to non-experts. Second, the composition of these architectures themselves was a manual process, which involved a lot of human intuition and trial and error.
Today, one primary goal of artificial intelligence research is to achieve Artificial General Intelligence (AGI) – the intelligence of a machine that can understand and automatically learn any type of work or activity that a human being can do. However, the reality was very different before AutoML research and industrial applications started. Indeed, before AutoML, designing deep learning architectures was very similar to crafting – the activity...
