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Increasing Model Size to Reduce Avoidable Bias
When a learning system has high avoidable bias, increasing the model size can help reduce bias because it allows the model to fit the training set better. For neural networks, this can mean adding layers or neurons; if increasing model size raises variance, regularization will usually eliminate the variance increase.
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What is a primary reason to increase a neural network's model size?
True or False: Increasing model size to reduce bias can also increase variance.
Fill in the blank: If increasing model size raises variance, _____ will usually eliminate it.
Match model adjustment terms with their descriptions.
Order the decision steps when addressing high avoidable bias.
Which structural change to a neural network increases its size to reduce bias?
True or False: Adding neurons is a way to reduce avoidable bias.
Fill in the blank: Increasing model size reduces _____ bias.
Match model properties with the effects of increasing model size.
Order the reasoning process for applying model size changes.