I am stuck on a case study and I will be so thankful if you can help.
I am building an algorithm for predicting one output of a chemical plant with 4 inputs and 3 neurons in the hidden layer, I have to use [Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization algorithm], but I can’t find it in tensorflow. I know that There is TensorFlow SciPy Optimizer interface which can be used for an access to optimizers like the BFGS, but I don’t know how to use it. Can you please tell me how to import other additional optimizers in tensorflow?
Thank you in advance.
Waiting for your reply.
Thanks for reaching out!
What you are suggesting is a good option for new optimizers. However, I found that there is an already available optimizer you can employ: tfp.optimizer.bfgs_minimize.
It is a part of the tensorflow-probability package. I’d suggest installing it and trying out the built-in optimizers.