What is the process of evaluating a feedforward neural network on a set of test data called?Select one:a.All of the aboveb.Trainingc.Testingd.Validation

Analyzing the Question

We are tasked with identifying the correct term that describes the process of evaluating a feedforward neural network on a set of test data.

Relevant Concepts

1. Training: This is the process where the neural network learns from a training dataset, adjusting weights based on the error of predictions.

2. Testing: This refers to the evaluation of the trained model on a separate dataset that it hasn’t seen before, to assess its performance and generalization ability.

3. Validation: This process is used during training to tune the hyperparameters of the model and is often done with a subset of the training data.

4. All of the above: This option suggests that all the previous processes are considered.

Final Answer

The correct answer is c. Testing. This term specifically refers to the evaluation process of the neural network on a set of test data to determine its performance after training.