Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Infinite Memory Architecture Solution

The video tutorial explains how a recurrent neural network (RNN) can be used to compute running averages from a stream of data points. It demonstrates building a simple RNN with a single neuron and no nonlinear activation functions. The tutorial walks through the computation process, showing how the RNN maintains history and computes outputs using shared weights. The RNN is unrolled to illustrate its operations, and it is shown how the network simulates running averages, despite lacking nonlinearities.

What happens to the Z value in the absence of nonlinear activation?

How does the recurrent neural network maintain history while processing inputs?