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Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks used in conjunction with an optimization method such as gradient descent.

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DL back-propagation: Does the loss necessarily need to be calculated from the direct output ...

In deep learning, we typically pass the output of a network we are training along with a training sample (batched or not) into a loss function. We then take the gradient of this loss function with res …
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