Python for Deep Learning - Build Neural Networks in Python - Recurrent Neural Network (RNN)

The video tutorial explains how layer neurons combine data from lower layers and previous values to process memory, enabling neural networks to handle sequences. It introduces RDNS, a type of artificial neural network suitable for analyzing time series data. Unlike feedforward networks that require independent data points, RDNS can manage data with dependencies. The tutorial highlights the importance of memory in RDNS, allowing them to track prior inputs and generate new outputs in a sequence.

Describe how RDNS can be utilized for analyzing time series data.

What is the importance of memory in RDNS?