| | A | B | C | D | | --- | --- | --- | --- | --- | | 1 | x1 | w11 | b1 | h1 | | 2 | x2 | w12 | b2 | h2 |

: The final prediction, such as a category label or a numerical value. 2. Set Up Forward Propagation

$$\textLoss = -[y \log(\haty) + (1-y) \log(1-\haty)]$$

Next came the , the brain within the brain. Arthur decided on two hidden neurons. This meant Weights . Weights are the dials the network turns to learn.