The error surface for a linear neuron
The error surface lies in a space with a horizontal axis for
each weight and one vertical axis for the error.
It is a quadratic bowl.
i.e. the height can be expressed as a function of the weights
without using powers higher than 2. Quadratics have constant
curvature (because the second derivative must be a constant)
Vertical cross-sections are parabolas.
Horizontal cross-sections are ellipses.
w1
E
w
w2