Question: Problem 1 0 . 8 Consider a 1 D convolutional network where the input has three channels. The first hidden layer is computed using a

Problem

10.8

Consider a

1

D convolutional network where the input has three channels. The first hidden layer is computed using a kernel size of three and has four channels. The second hidden layer is computed using a kernel size of five and has ten channels. How many biases and how many weights are needed for each of these two convolutional layers?

Problem 1 0 . 8 Consider a 1 D convolutional

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