Recurrent Neural Networks: AI that Understand Sequences
In the world of artificial intelligence, not all data is static. Many of the scenarios we apply AI in, such as translating languages or predicting equipment failure, depend on sequences, not snapshots. That’s where Recurrent Neural Networks (RNNs) shine. While traditional neural networks process inputs independently, RNNs are designed to remember what came before. They bring memory into machine learning, making them uniquely suited for tasks involving time, order, or structure. Whether you're processing transcripts, monitoring signals, or forecasting trends, RNNs help AI learn from the past to make sense of the present.
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