In artificial intelligence, especially in machine learning, the inputs and outputs of neurons in a neural network can be viewed as random variables.
And this view is highly useful in many ways. The usefulness of this view manifests in applying various mathematical results of random variables in understanding resultsoutputs and other aspects of neural networks. Other aspects include loss functions also.
I want to know whether it is useful to view weights of neural networks as random variables? What does the literature say about this view?