In deep learning, given a convolutional layer with 384 filters, is/are there ... a) only one bias to be added to the results of the convolution operations at that layer  or b) 384 bias values, one per filter, to be added to the results of their corresponding convolution operation at that layer?

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In deep learning, given a convolutional layer with 384 filters, is/are there ...

a) only one bias to be added to the results of the convolution operations at that layer 

or

b) 384 bias values, one per filter, to be added to the results of their corresponding convolution operation at that layer?

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Solution :

There is only one bias to be added to the results of the convolution operations at that layer. The bias values for each !lter are added to the results of their corresponding convolution operation at that layer.

 

For example,

if the! If lter has a 3x3 kernel, the bias is added to the convolution operation result!.bias has nothing to do with a convolutional layer's width.

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