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Amy McGovern
Ryan Lagerquist
David John Gagne II
G. Eli Jergensen
Kimberly L. Elmore
Cameron R. Homeyer
, and
Travis Smith

layer downsamples feature maps to half resolution, thus halving the spatial dimensions. Other convolutional and pooling layers perform similar operations. Feature maps from the last pooling layer are flattened into a length-6,400 vector (5 × 5 × 256 = 6,400), which is transformed by the three dense layers into vectors of length 404, then 20, and then 1. The sigmoid activation function of the final dense layer forces the output (tornadogenesis probability) to the range [0, 1]. During training

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