At first, I will post this as short as I can, as the full question can be lengthy, but provide context.
I'm old, but I have this recollection of an algorithm that scores, or categorizes (somewhat) a variety of temporal inputs, giving as output those inputs that are related to one (or I guess...
Hello,
in my neural network my backpropagation outputs are destroyed by new inputs. My neural network structure: 4 inputs, 2 hidden layer (8 neurons) and 2 outputs.
For example :
First input values [0.1, 0.2, 0.9, 0.4] --> Predicted [0.48, 0.52], Expected [1, 0].
After Backpropagation -->...