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The first neural net I wrote was a classifier. After that, I learned that neural nets can be used for regression tasks, even quantile regression.

It has become clear to me that the usual games with extensions of OLS linear regression can be applied to neural networks.

What work has been done with Poisson-style regression via neural networks with log link functions (exponential activation function)?

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