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I was following andrew-ng coursera course on deep learning and there's a question that has been asked there which I couldn't figure out the answer for?

Suppose your input is a 300 by 300 color (RGB) image, and you use a convolutional layer with 100 filters that are each 5x5. How many parameters does this hidden layer have (including the bias parameters)?

  1. 2501

  2. 2600

  3. 7500

  4. 7600

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The right answer is the fourth.

From this, the formula to calculate the number of parameters in a convolutional layer is (nml+1)*k with n = m = 5, k = 100, l = 3 and +1 for the bias.

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