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What is the purpose of the stride parameter in a convolutional layer?Question 26Answera.To adjust the learning rate during trainingb.  None of thesec.To determine the size of the receptive fieldd.   To control the step size of the convolution operation

Question

What is the purpose of the stride parameter in a convolutional layer?Question 26Answera.To adjust the learning rate during trainingb.  None of thesec.To determine the size of the receptive fieldd.   To control the step size of the convolution operation

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Solution

The purpose of the stride parameter in a convolutional layer is to control the step size of the convolution operation. This means that it determines how much the filter should move across the input matrix. A larger stride will result in a smaller output size, while a smaller stride will result in a larger output size. This parameter can be adjusted to optimize the performance of the model.

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