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2 cards from this section. Quick, good the night before a test.
What is the purpose of adding bias in a neural network?
Think of bias as a way to fine-tune the output.
Can a neural network function without bias?
Consider scenarios where small adjustments could improve accuracy.
What role does bias play in neural networks?
Consider how models adapt to different datasets.
True or False: Bias is not necessary for a neural network to function.
Think about how adding bias enhances the model's flexibility.
Given a set of data points and a straightforward linear regression model without bias, explain how the predictions might differ from a model including bias.
Analyze how shifts in data affect the model's overall fit.
Consider two neural networks, one with bias and the other without. Describe the comparative performance of each on a dataset with non-linear characteristics.
Think about the flexibility afforded by bias in handling non-linear data.
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