What is the purpose of using a validation set during training of a neural networ

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Question: What is the purpose of using a validation set during training of a neural network?

Options:

Correct Answer: To evaluate the model\'s performance during training

Solution:

The validation set is used to monitor the model\'s performance during training and to tune hyperparameters.

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

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.

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