Deep Learning just means you are using an artificial neural network--or similar algorithm--to discover relationships among Big Data that would not be obvious to the causual observer. Like Newton's discovery of gravity, many of these discoveries made by Deep Learning algorithms are obvious after they are understood, but difficult to come up with by humans just studying a vast database.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.