Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
point C, where we can see this statement is true. If loss decreases with an increase in weight so gradient will be negative. We can see point A, corresponds to such a situation. Now, from point A we need to move towards positive x-axis and the gradient is negative. From point C, we need to move