Backpropagation
In machine learning, backpropagation is a gradient computation method commonly used for training a neural network in computing parameter updates. It is an efficient application of the chain rule to neural networks.
In machine learning, backpropagation is a gradient computation method commonly used for training a neural network in computing parameter updates. It is an efficient application of the chain rule to neural networks.
In machine learning, backpropagation is a gradient computation method commonly used for training a neural network in computing parameter updates. It is an efficient application of the chain rule to neural networks.
Source: Wikipedia "Backpropagation" · CC BY-SA 4.0
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