This will be my first ever neural network code. I am trying to implement feedforward netwrok. Let me explain what I am trying to achive.
I have a 1D vector P. This is the input to my network training. In the first round of network estimates(I have not decided yet how many layers will there be), a new vector P1 come as an output. Now i need to plug in the output to formula, say, Q=P1*scalar. I already have predefined Q range, say between 10 to 20. if the output P1, gives Q within this range, the network training needs to be stopped, else it should go for second round.
I have the following questions
- How to make this work
- On m furst round once the P1 does not meet the Q range, do i need to feed the updated P1, for second round of training
I appreciate the help in advance