Neural network calculate the inputs and propagate the result from one layer to another left to right.
A loss function calculate the errors. The loss function represent a n-dimensional plane f which n equal to the number do features.
Back propagation is to calculate the effect of each weight contributed to the loss based on Differential calculus. The outcome is used to adjust the weigh (add or subtract from the weigh) the calculation is from output to input, right to left, and thus called back propagation.
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