Term
| How many values can a neuron produce at one time? |
|
Definition
|
|
Term
| How many arguments can a neuron have at one time? |
|
Definition
| as many as were outputted by the previous layer in a vector. For example, the input layer sends out three arguments...these three arguments are passed to each neuron |
|
|
Term
| How does the data travel through a network from input to output |
|
Definition
| The input layer sends in arguments to the hidden layer, which sends it's values to the output layer..which send out their values |
|
|
Term
| How do you train neurons? |
|
Definition
|
|
Term
| reproduce the formula used to adjust the weights of a neural network |
|
Definition
| weights[i] += learningFactor * arguments[i] * valueError |
|
|
