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actual computation of the gradient is what is called back-propagation [1]. But is usually confused with the actual learning part, accomplished by algorithms like Stochastic Gradient Descent. Reaching the input layer Stochastic Gradient Descent, or other gradient-based optimizer algorithm, adjusts