What is the process of evaluating a feedforward neural network on a set of validation data called?Select one:a.Validationb.Trainingc.All of the aboved.Testing

Step 1: Break Down the Problem

The question is asking for the specific term used to describe the process of assessing the performance of a feedforward neural network using validation data. We need to identify which of the provided options accurately represents this process.

Step 2: Relevant Concepts

Here are the options provided:

• a. Validation
• b. Training
• c. All of the above
• d. Testing

In the context of machine learning:

• Training refers to adjusting the model's parameters based on the training dataset.
• Validation is used to tune the model's hyperparameters and evaluate its performance during the training phase.
• Testing involves assessing the model's performance on a separate test dataset to see how well it generalizes to unseen data.

Step 3: Analysis and Detail

The question specifically mentions "evaluating" a neural network on validation data. The most appropriate term here is "Validation." While "Testing" also refers to evaluation, it is typically associated with a separate test dataset rather than validation data.

Step 4: Verify and Summarize

Upon reviewing the definitions, "Validation" is the correct term that describes the evaluation process during training. The option "Testing" would be incorrect in this context because it implies using a test dataset instead.

Final Answer

a. Validation