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Context: We define the Fire module as follows.A Fire module is comprised of: a squeeze convolution layer (which has only 1x1 filters), feeding into an expand layer that has a mix of 1x1 and 3x3 convolution filters; we illustrate this in Figure 1.The liberal use of 1x1 filters in Fire modules is an application of Strategy 1 from Section 3.1.We expose three tunable dimensions (hyperparameters) in a Fire module: s_{1x1}, e_{1x1}, and e_{3x3}.In a Fire module, s_{1x1} is the number of filters in the squeeze layer (all 1x1), e_{1x1} is the number of 1x1 filters in the expand layer, and e_{3x3} is the number of 3x3 filters in the expand layer.When we use Fire modules we set s_{1x1} to be less than (e_{1x1} + e_{3x3}), so the squeeze layer helps to limit the number of input channels to the 3x3 filters, as per Strategy 2 from Section 3.1.

Question: What is the total number of filters in squeeze convolution layer?
s1x1 is the number of filters in the squeeze layer and it is set s1x1 to be less than (e1x1 + e3x3) -the total number of filters in expand layer of the fire module- to limit the number of input channels to the 3x3 filters.