Article on Deep Learning

Article on Deep Learning #snsinstitutions #snsdesignthinkers #designthinking

Deep learning is a subset of machine learning that can automatically learn and improve functions by examining algorithms. The algorithms use artificial neural networks to learn and improve their function by imitating how humans think and learn.Deep learning plays an important role in statistics and predictive modeling. By collecting massive amounts of data and analyzing it, Deep Learning creates multiple predictive models to understand patterns and trends within the data. Deep learning makes it faster and easier to interpret large amounts of data and form them into meaningful information. It is used in multiple industries, including automatic driving and medical devices. Neural networks are layers of nodes, much like the human brain is made up of neurons. It also works similarly to a human brain, where the signal travels between nodes just like neurons. The network is said to be deeper based on its number of layers. In an artificial neural network, signals travel between nodes and assign corresponding weights. A heavier weighted node will exert more effect on the next layer of nodes. The final layer compiles the weighted inputs to produce an output.