Where can I find implemented examples of second order optimizers using `tf.GradientTape.jacobian`

, `tf.hessian`

or similar methods, if there are any? Thanks!

Abstract. Second-order optimization technique is the advances of first-order optimization in neural networks. It provides an addition curvature information of an objective function that adaptively estimate the step-length of optimization trajectory in training phase of neural network.

There is some second order optimizer in TFP with requests to exposed it as Keras optimizer: