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public:t-713-mers:mers-23:anns [2023/09/12 14:00] thorissonpublic:t-713-mers:mers-23:anns [2024/04/29 13:33] (current) – external edit 127.0.0.1
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 |  Current State  | Very large ANNs of a particular kind, called Large Language Models and Deep Neural Networks, are used in a variety of industries to achieve the key property mentioned above, namely, to produce a (feed-forward) function based on large amounts of data, for a variety of classification tasks.  | |  Current State  | Very large ANNs of a particular kind, called Large Language Models and Deep Neural Networks, are used in a variety of industries to achieve the key property mentioned above, namely, to produce a (feed-forward) function based on large amounts of data, for a variety of classification tasks.  |
  
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 ====ANNs: Data & Training==== ====ANNs: Data & Training====
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 |  Application Areas  | A trained ANNs can be employed essentially anywhere that a sophisticated classification function is needed.  | |  Application Areas  | A trained ANNs can be employed essentially anywhere that a sophisticated classification function is needed.  |
 |  Requirements  | Large amounts of data must be available to train an ANN for reliable operation of any kind, typically 2k to 5k data records (examples) of **each category** that the ANN is supposed to classify.    | |  Requirements  | Large amounts of data must be available to train an ANN for reliable operation of any kind, typically 2k to 5k data records (examples) of **each category** that the ANN is supposed to classify.    |
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 ====ANNs: Key Limitations==== ====ANNs: Key Limitations====
 |  Big Data  | ANNs require large amounts of training data. If Big Data doesn't exist for what they are intended to be applied to, they cannot be used.   | |  Big Data  | ANNs require large amounts of training data. If Big Data doesn't exist for what they are intended to be applied to, they cannot be used.   |
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/var/www/cadia.ru.is/wiki/data/attic/public/t-713-mers/mers-23/anns.1694527232.txt.gz · Last modified: 2024/04/29 13:33 (external edit)

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