Recurrent Neural Networks (RNNs) are like having a notebook where you write down information and keep referring back to it as you write new notes. Imagine you’re working on a story and you need to remember what happened earlier in the plot to make sense of what happens next.
Think of an RNN as a type of computer program that’s great at handling sequences of information, just like your story. For instance, if you’re typing out a sentence, an RNN can remember the words you’ve typed before to help predict what comes next.
For example, when you write a sentence, the RNN looks at the words in the sequence and keeps track of the context—what was mentioned earlier in the sentence or even in a longer piece of text. This way, it can understand and generate text that flows naturally. If you’re writing an email or chatting with a virtual assistant, RNNs can help predict and suggest what you might want to say next based on what you’ve already written.
In simple terms, an RNN is a computer program that remembers past information in a sequence to help understand and predict what comes next, making it useful for tasks like generating text or analyzing time series data.
