Machine Learning.
Hessian and eigenvalues). (in the saddle points → the gradient descent methods will slow down). (derivative and Hessian → a lot to study here) → the theories are generally from physics. (analyzing learning dynamics and more). (being trapped along with the symmetric subspace → pair of hidden unit