Strange RNN architecture

Hi All,

I took this architecture diagram from a mock exam (masters level):

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https://preview.redd.it/sly99gdyad1b1.png?width=623&format=png&auto=webp&v=enabled&s=1ce14ee783107e68b6d7c5eb77f0a57a1e691e53

I find the "L3" layer very odd; the one that says "MLP". I know it stands for "Multi Layer Perceptron", which is basically an old-fashioned term for feed forward network. The thing that confuses me is that it squeezes the dimensions from 512 to 1. Why? I thought perhaps it does it because it's a binary classification problem, but that doesn't make sense because of …

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