Machine Learning, Deep Learning, Computer Science.
meaning in the exact values of the gradients in the a and b directions. The gradient is just telling us that the a direction has more power to contribute to error — being off by 50 on the x² term will create more error than being off by 50 on the x term. We want to update our weights a and b