Difference between revisions of "Deep Learning"
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| − | Deep learning is a type of machine learning that trains a computer to perform human-like tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing.<ref>Definition: What is the meaning of Deep Learning [https://www.sas.com/en_us/insights/analytics/deep-learning.html SAS]</ref> | + | Deep learning is a type of machine learning that trains a [[computer]] to perform human-like tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing [[data]] to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing.<ref>Definition: What is the meaning of Deep Learning [https://www.sas.com/en_us/insights/analytics/deep-learning.html SAS]</ref> |
Revision as of 15:17, 6 February 2021
Deep learning is a type of machine learning that trains a computer to perform human-like tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing.[1]
References
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