Today in the video surveillance industry, the term “Deep Learning” and other terms such as machine learning and neural networks are often confused. An article by IBM helps clear up some of the misunderstanding:
. . . machine learning is a subfield of artificial intelligence. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. In fact, it is the number of node layers, or depth, of neural networks that distinguishes a single neural network from a deep learning algorithm, which must have more than three.
For a complete explanation, please see the complete IBM article:
https://www.ibm.com/cloud/blog/ai-vs-machine-learning-vs-deep-learning-vs-neural-networks
On the other hand, AI is so dynamic that the definitions are evolving with time. Nevertheless, it is important to be precise in the use of the terms to avoid confusion among customers as to what technology they are actually buying.
Don Lyman, President, Peregrine Security, Inc.
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