Evaluation
Evaluate a fully trained neural network using the model accuracy as the evaluation metric.
We'll cover the following...
Chapter Goals:
- Evaluate model performance on a test set
A. Evaluating using accuracy
After training a model, it is a good idea to evaluate its performance. We do this by using a test set (i.e. data points not used in model training) and observe the model's prediction accuracy on the test set.
The code for this chapter makes use of the accuracy
metric defined in ...