Fig. 5From: Network intrusion detection using feature fusion with deep learningThe overall architecture of the late-fusion model, each data type was passed to a sub-model and each sub-model output has 128 neurons with ReLU non-linear activation function. Then, the average predictions of the sub-models define the output layer with the Softmax classifierBack to article page