What is the purpose of using a validation set during training of a neural networ
Practice Questions
Q1
What is the purpose of using a validation set during training of a neural network?
To train the model
To evaluate the model's performance during training
To test the model after training
To optimize the learning rate
Questions & Step-by-Step Solutions
What is the purpose of using a validation set during training of a neural network?
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 model how to make predictions.
Step 3: The validation set is a separate part of the data that the model does not see during training.
Step 4: We use the validation set to check how well the model is performing while it is being trained.
Step 5: By monitoring the performance on the validation set, we can see if the model is learning correctly or if it is overfitting (learning too much from the training data and not generalizing well).
Step 6: We can also use the validation set to adjust hyperparameters, which are settings that can affect how the model learns.
