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Deep learning is a concept in machine learning and artificial intelligence which is inspired by how the human brain works. It helps scientists and machine developers to create systems that consistently analyze logically structured data and drawing conclusions as humans. Deep learning depends on neural network design to accomplish this. Neural networks are created to mimic the structure of the human brain.
The Internet of Things (IoT)
IoT describes the millions and millions of computer devices all across the world that are linked via a network (internet). These devices can collect and share data thanks to the ubiquity of wireless networks. While physical devices are often dumb, a level of digital intelligence can be added by using sensors to create a connection. Doing this enables these devices to communicate in real-time without human help.
Computer vision is one of the most compelling subsets of artificial intelligence that we often interact with even without knowing. It is a concept that draws its inspiration from the complexity of the human vision. Computer vision strives to replicate the human vision system to enable machines to process objects (images and videos) like we humans do. However, little advancement has been made in this field and it has only worked in a constrained capacity.