People are capable of gaining new knowledge from experience. For example, when we face a repetitive task, we may choose to adjust our actions to improve the results from the last time we had to do the same thing.
Deep learning tries to produce machines that can do this. It is a machine learning (ML) technique that teaches computers to mimic what the human brain does. They are given huge amounts of information to analyze and are expected to build on what they learned by repeating tasks over and over. The bigger the amount of data, the deeper the neural network, the more functions can be learned.
Deep learning aims to produce true thinking AI, much like the iconic HAL computer in “2001: A Space Odyssey”.
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