"Neural Networks Learn in Continuous space" - What does this statement mean?

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I was reading the paper on "Recurrent neural network based language model" by Tomas Mikolov et. al and I came across this statement "Neural Networks Learn in Continuous space". Please help me in understanding the meaning of continuous space here and how neural network learns in the same. In other words what does this statement mean?