the gears of neural networkstensor operations reshape(( ) array([ ] ] ] ] ] ]] reshape(( ) array([ ] ]] special case of reshaping that' commonly encountered is transposition transposing matrix means exchanging its rows and its columnsso that [ :becomes [: ] np zeros(( ) np transpose(xprint( shape( creates an all-zeros matrix of shape ( geometric interpretation of tensor operations because the contents of the tensors manipulated by tensor operations can be interpreted as coordinates of points in some geometric spaceall tensor operations have geometric interpretation for instancelet' consider addition we'll start with the following vectora [ it' point in space (see figure it' common to picture vector as an arrow linking the origin to the pointas shown in figure [ figure [ point in space figure point in space pict ured as an arrow licensed to