Machine Learning, Neural Networks, Backpropagation, Gradient Descent.
local minima, which is not the same with normal MSE. Secondly, Neural networks are of different structures. Neural Network diagram. So, in neural nets the result Y-output is dependent on all the weights of all the edges. So, the error is obtained at the last output node and then we need to change