Envisioning Neural Nets As Org Charts

Maiia Bakhova describes the layout of a neural net as similar to a chain of command within an organization:

We can observe a lot of in common with a corporation chain of command. As we see middle managers are hidden layers which do the balk of the job.  We have the similar information flow and processing which is analogous to forward propagation and backward propagation.
What is left now is to explain that  dealing with sigmoid function at each node is too costly so it mostly reserved for CEO level.

That’s a metaphor I hadn’t heard before.

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Bayesian Neural Networks

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