So in the lecture, the axes of the graphs, I assumed that `w1`

, `w2`

are `w_old`

, `w_new`

as `[w1, w2...]`

of the weight vector are values independent of one another.

Now taking the equations,

`W_new = W_old - learning_rate*derivative(J(W_old, b))`

and `J(W_minima, b_minima) <= J(W, b)`

.

Now I couldn’t exactly understand how the shape of contour plot is elliptical, this got me thinking whether this contour graph can be a 2D interpretation of the actual plot where `b`

is along the Z-axis. Ik this is all just algebra at the end of the day, but can some please clarify this?

The elliptical shape is due to the magnitudes of the features.

No, I don’t think so.