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Questions and Answers
In hyperparameter tuning, what is the purpose of a learning rate?
In hyperparameter tuning, what is the purpose of a learning rate?
How does dropout contribute to regularization in a CNN?
How does dropout contribute to regularization in a CNN?
Which optimization algorithm is known for adapting the learning rate on a per-parameter basis?
Which optimization algorithm is known for adapting the learning rate on a per-parameter basis?
What is the primary role of the validation set in hyperparameter tuning?
What is the primary role of the validation set in hyperparameter tuning?
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How does transfer learning benefit CNNs in practice?
How does transfer learning benefit CNNs in practice?
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What is the primary challenge addressed by techniques like L2 regularization in CNNs?
What is the primary challenge addressed by techniques like L2 regularization in CNNs?
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In a CNN, what does the term "receptive field" refer to?
In a CNN, what does the term "receptive field" refer to?
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How does a CNN handle input data of varying sizes?
How does a CNN handle input data of varying sizes?
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Why do CNNs exhibit translation invariance?
Why do CNNs exhibit translation invariance?
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Which layer type is responsible for introducing non-linear transformations to the input in a CNN?
Which layer type is responsible for introducing non-linear transformations to the input in a CNN?
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