You're working on a project where you need to predict the next word in a sentence based on the previous words. Which type of neural network architecture would be most appropriate for this task?
- Recurrent Neural Network (RNN)
- Convolutional Neural Network (CNN)
- Long Short-Term Memory (LSTM)
- Gated Recurrent Unit (GRU)
A Long Short-Term Memory (LSTM) is well-suited for this task because it can capture long-term dependencies in sequential data, making it effective for predicting the next word based on previous words in a sentence.
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