Machine Learning, Gradient Descent, Hessian Matrix, Optimization, Artificial Intelligence.
and cause the greatest stretching or compression. The eigenvalues are how much stretching or compressing is happening along those directions: Negative eigenvalue: Surface is pulled downwards along an eigenvector (concave down) Positive eigenvalue: Surface is pushed upwards along an eigenvector