Deep learning is only as good as its data

"Deep learning" has become a hot topic in the general rush to launch AI products. But many of these products will fail because companies are putting branding ahead of functionality. Success depends on understanding what deep learning is, how it works, and what its most effective applications are. Traditional machine learning algorithms are typically linear, in that they can be represented by only one node that linearly transforms input to output. Previously called artificial neural networks or neural networks, deep learning uses multiple such nodes, organized like the neural networks originally invented in 1943 to model how human brains work.