Tag: and so does . And I end up in a never ending loop. So how to do this?

Artificial Intelligence (AI) Mastering Development

How to find the derivative of a dynamic neuron model, which depends on previous states of the neuron?

Post author By Jessica Alba
Post date August 2, 2020
No Comments on How to find the derivative of a dynamic neuron model, which depends on previous states of the neuron?

This is the equation where n denotes the current state, (n-1) denotes the state in the previous step etc. And to do back-propagation I need to find partial derivatives over each of the variables. For now let’s just focus on The term in the above equation can be written as: Since it also contains , […]

Tags (n-1) denotes the state in the previous step etc. And to do back-propagation I need to find partial derivatives over each of the variables., and so does . And I end up in a never ending loop. So how to do this?, it needs to be substituted into the first equation. But this is where the issue starts. I also need to then substitute in the equation above, This is the equation where n denotes the current state