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Backpropagation: Difference between revisions
Created page with "==Introduction== Backpropagation is a technique used to train artificial neural networks, machine learning models inspired by the structure and function of the human brain. This process adjusts the weights assigned to connections within the network in order to minimize errors between predictions and actual input values. The backpropagation algorithm is often employed in conjunction with supervised learning tasks, in which the network is provided a set of input-output pa..."
(Created page with "==Introduction== Backpropagation is a technique used to train artificial neural networks, machine learning models inspired by the structure and function of the human brain. This process adjusts the weights assigned to connections within the network in order to minimize errors between predictions and actual input values. The backpropagation algorithm is often employed in conjunction with supervised learning tasks, in which the network is provided a set of input-output pa...") |
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