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I was recently asked at an interview to calculate the number of parameters needed, for a convolutional layer. I am deeply ashamed to admit I didn't know how to do that, even though I've been working and using CNN for years now.

Given a convolutional layer with ten $3 \times 3$ filters and an input of shape $24 \times 24 \times 3$, what is the total number of parameters of this convolutional layer?

I was recently asked at an interview to calculate the number of parameters needed, for a convolutional layer. I am deeply ashamed to admit I didn't know how to do that, even though I've been working and using CNN for years now.

Given a convolutional layer with ten $3 \times 3$ filters and an input of shape $24 \times 24 \times 3$, what is the total number of parameters of this convolutional layer?

I was recently asked at an interview to calculate the number of parameters for a convolutional layer. I am deeply ashamed to admit I didn't know how to do that, even though I've been working and using CNN for years now.

Given a convolutional layer with ten $3 \times 3$ filters and an input of shape $24 \times 24 \times 3$, what is the total number of parameters of this convolutional layer?

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