how do neural networks optimize error functions why do we use stochastic gradient descent neural network error function what is the benefit of optimizing our neural network error functions using back prop rather than just using stochastic gradient descent directly on the error function? why do we use gradient descent neural network error function what is the benefit of optimizing neural network error function using back prop rather than just using gradient or stochastic gradient descent directly on the error function? which of the following methods is the advantage of neural network training? when you do a neural network error function why do we use a gradient gradient descent what is the benefit of optimizing our neural network error function using back prop rather than just using stochastic gradient descent directly on the error function? why is gradient descent used in neural networks why are neural nets so efficient why do we do a gradient gradient why do we perform gradient or gradient descent why do neural network trainers use prop what is the benefit of optimizing our neural network error function using back prop instead of just using gradient descent directly on the error function? neural network error function why do neural network error functions need stochastic gradient descent why do neural network neural network errors use back prop