weights and biases for each activated node.
In backpropagation, a cost function takes into account the model’s predictions
for one pass of the training data through the network and what the actual predictions
should be. The cost function gives you an indicator of how good the model’s weights are
at predicting the correct outcome. For this example, assume that Figure
3-11
shows the
Chapter 3 IntroduCtIon to deep LearnIng
This cost function is called the