[foota]

I have a couple questions that I'm not getting from this, does this memory persist between each "instance" of a task? Or does it get wiped out after each one? Is this something where you might say present the model with some data that is the input (which it might learn to then store in memory) and then ask a question of it?

i.e, in the blog post it discusses using the network to find the shortest path between two stations, would the steps to do that look like this?

1. Train the NN how to navigate any network, presenting the graph data each time you ask the NN a problem 2. take the trained NN and feed it the London Underground, then ask it to tell you how to get there?