RNNs: Masters of Time
What Are RNNs?
Recurrent Neural Networks (RNNs) are designed to handle sequential data, like sentences or time series data. They can remember previous information and use it to understand the current context, making them ideal for tasks like language translation or speech recognition.
How RNNs Work:
- Sequential Processing: Imagine reading a book. You remember previous sentences to understand the current one. RNNs work similarly by using their memory to process sequences.
- Hidden States: These are like memory units that store information about previous steps, helping the network make sense of the current input.
Applications:
RNNs are used in machine translation, text generation, and even predicting stock prices.