Recurrent Neural Networks
Explore recurrent neural networks, which process sequential data such as text and time series. Understand how they handle various sequence tasks including sentiment analysis and machine translation, and learn about challenges like long-term dependencies that LSTM models address.
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Recurrent neural networks
Recurrent neural networks are a special class of neural networks designed for sequential data, such as text sequences and time series data like yearly sales, videos (sequences of images), and stock market data. Recurrent neural networks contain loops that allow information to persist over time within the network. This capability is absent in traditional neural networks.
A loop facilitates the flow of information from one time step of the network to its next time step. A recurrent neural network can take in sequences of inputs and produce sequences of ...