Chapter v2: RNN
Section outline
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In this chapter, we delve into Recurrent Neural Networks (RNNs), a type of neural network particularly well-suited for handling sequential data. RNNs are unique in their ability to maintain a 'memory' of previous inputs through loops within their architecture, which is essential for capturing temporal dependencies. This makes them ideal for various applications such as time series analysis, audio processing, and natural language processing. Specific tasks where RNNs excel include binary. classification, sentiment analysis, image captioning, and machine translation
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