Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
it has two minima, a local one and a global one. So, if we somehow end up in the local one we will end up in a suboptimal state. So, here the point where the weights initialize matters. For example, if the weights initialize to somewhere near x1 and there is a high chance we will get stuck at the