- Training a neural network revolves around the following objects (see Figure 15.7, Chollet and Allaire (2018), Ch. 3)
- Layers, which are combined into a network (or model)
- The input data and corresponding targets
- The loss function, which defines the feedback signal used for learning
- The optimizer, which determines how learning proceeds.
Chollet, Francois, and J J Allaire. 2018. Deep Learning with R. 1st ed. Manning Publications.