backpropagated

Gradients sent backward

Backpropagated describes something that has been sent backward through a system, particularly in machine learning.

When training neural networks, errors are backpropagated—calculated at the output and transmitted backward through layers to adjust how the network learns: The loss was backpropagated to update the weights.

The process refines predictions by distributing blame for mistakes.

mathematics

chain rule

Composite function derivative method

training

error correction

Fixing identified mistakes

convergence · overfitting · underfitting · feedforward · vanishing gradient · stochastic · generalization · regularization · dropout

architecture

neural networks

Layered computational learning systems

weights · biases · convolutional · recurrent · sigmoid · transformer · encoder-decoder

optimization

gradient

Rate of change across space

saddle point · optimizer · annealing

Opposites
signal direction in neural networks

backpropagatedfeedforward

Control anticipating disturbances

inferred · activated · pushed forward · predicted · evaluated

learning vs. inference phase

backpropagatedinferred

Concluded from indirect evidence

predicted · computed · evaluated

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backpropagation

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