output error = intended output - actual output.
So it means, Jay must meet that level for her to believe him.
The number of times we relay our message (input) is called an epoch. We can have 5 epochs so as to improve our output. And the process of relaying the message is called training.
Input layer: is the entrance of the neural network
Hidden layer: where communication (learning) happens
Output layer: where the results happen
Output error: intended output - actual error
Learning rate: moderating factor used to minimize the error
Epoch: number of times a training is carried out.