Weight: Revision history

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17 March 2023

22 February 2023

  • curprev 15:3615:36, 22 February 2023Alpha5 talk contribs 3,917 bytes −222 No edit summary
  • curprev 14:4114:41, 22 February 2023Alpha5 talk contribs 4,139 bytes +4,139 Created page with "{{see also|Machine learning terms}} ===Introduction== Machine learning uses weight as a fundamental concept to represent the strength of connections between nodes in a neural network. These connections form the basis for models' capacity to make accurate predictions and classifications by learning patterns from data. Understanding how weights are allocated and adjusted is essential in comprehending how a neural network functions. ==What is weight?== Machine learning ass..."
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