helppV. A network has the following layers. Complete the table by calculating the size of each layer and is parameters in each layer. The input to this network is a set of images 227x227x3 images. (30 Layer size No. of parameters Layer CONV 96 11×11 filters at stride 4 MAX POOL 3×3 filter at stride 2 CONV 256 5×5 filters at stride 1, padding 2 MAX POOL 3×3 filters at stride 2 CONV 256 3×3 filters at stride 1, padding 1 MAX POOL 3×3 filters at stride 2 FC 4096 neurons FC 10 neurons TOTAL number of parameters Show transcribed image text V. A network has the following layers. Complete the table by calculating the size of each layer and is parameters in each layer. The input to this network is a set of images 227x227x3 images. (30 Layer size No. of parameters Layer CONV 96 11×11 filters at stride 4 MAX POOL 3×3 filter at stride 2 CONV 256 5×5 filters at stride 1, padding 2 MAX POOL 3×3 filters at stride 2 CONV 256 3×3 filters at stride 1, padding 1 MAX POOL 3×3 filters at stride 2 FC 4096 neurons FC 10 neurons TOTAL number of parameters
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