ARCHIVED CONTENT
You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.Extract from article by Christoffer Hernaes published by TechCrunch
Machine learning has its roots in statistical pattern recognition, and is fundamental in many everyday applications and services, like spam filters and web search algorithms. The fundamental aspect of machine learning is letting the computer program learn from examples. To accelerate machine learning development, Google released its machine learning system, TensorFlow, on GitHub, which led to Microsoft following up shortly thereafter.
Deep learning takes the concept of machine learning even deeper (pun intended), and can model complex non-linear relationships consisting of many layers. Deep learning is often mentioned interchangeably together with artificial/deep neural networks, which can be viewed as a biologically inspired programming paradigm that enables a computer to learn from observational data. Deep learning is considered the technique we apply to learn in neural networks.
Read the complete article at AI is closer than we know | TechCrunch