August 2018
Intermediate to advanced
272 pages
7h 2m
English
Here, we will show how to calculate the number of parameters used by a convolution layer. The formula to calculate the number of parameters in a convolution layer (including biases) is as follows:
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We will illustrate with a simple example:
Input: [32x32x3] input tensor Conv layer: Kernel:5x5 numFilters:10
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On the other hand, the number of parameters in a fully connected layer (including biases) will be as follows:
As mentioned before, if you use a traditional artificial neural network directly ...
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