What Are They? RNNs are like learners with short-term memory – they remember recent information but get fuzzy as time passes. Simply put, a Recurrent Neural Network (RNN) is like a “learner” with memory. Imagine this learner reading an article, remembering the meaning of each word temporarily before moving on to the next. While traditional neural networks treat each input independently (like starting from scratch each time), RNNs “remember” previous information (earlier words) and pass this memory to the next step, creating context for the entire sentence....