First, I would like to express how much I appreciate this code! It presented itself in front of me exactly when I needed it!
However, as new to the concepts of neural networks as one can be, I would like to see some more examples, especially in getting output from a network. I would like to throw unknown input in an already trained NN and see what comes from the other end.
I suspect that this happens through the NeuralNetwork.forward() method, but I cannot understand what the Graph g argument is there for.
An example of how to use an RNN, with, let's say, a time series of size n steps, would definitely clear the picture for me.
Thanks in advance!
First, I would like to express how much I appreciate this code! It presented itself in front of me exactly when I needed it! However, as new to the concepts of neural networks as one can be, I would like to see some more examples, especially in getting output from a network. I would like to throw unknown input in an already trained NN and see what comes from the other end. I suspect that this happens through the NeuralNetwork.forward() method, but I cannot understand what the Graph g argument is there for. An example of how to use an RNN, with, let's say, a time series of size n steps, would definitely clear the picture for me. Thanks in advance!