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What is the purpose of using a validation set in neural network training?

Practice Questions

Q1
What is the purpose of using a validation set in neural network training?
  1. To train the model
  2. To test the model's performance
  3. To tune hyperparameters
  4. To visualize the data

Questions & Step-by-Step Solutions

What is the purpose of using a validation set in neural network training?
  • Step 1: When training a neural network, we split our data into three parts: training set, validation set, and test set.
  • Step 2: The training set is used to teach the neural network how to make predictions.
  • Step 3: The validation set is used to check how well the model is performing while it is still being trained.
  • Step 4: By using the validation set, we can adjust settings (called hyperparameters) to improve the model's performance.
  • Step 5: We do not use the test set during training or validation to ensure we can fairly evaluate the model's performance later.
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