人工神经网络中的 Memory

Question

I am just starting to get into the world of Neural networks, using my own objects, and vectors, in the language of C++.

However, I was thinking that a neural network in a game like Super Mario would have a difficult time based on just the screen for input, and the keyboard (or controller) for output, since the net has no way of finding out the velocity of the player, or any of it's past moves.

I thought that if a neural network had "memory", like where some of the output of the previous feed-forward were fed back into the net, along with the normal inputs, this could work to give the neural net a slight sense of what it could have been doing, and thus affect it's current output.

Is There a better way of giving a neural net "memory" by feeding part of it's output into it's input?

I would appreciate any helpful links, Thanks in advance.

PS: My choice of language is c++.

Answer 1

Recurrent Neural Networks (RNN) do just what you described. You can read more about them here: RNNs