You are working on a project where you need to predict the next word in a sentence. Which type of neural network architecture would be most suitable for this task?
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Long Short-Term Memory (LSTM) Network
- Generative Adversarial Network (GAN)
Predicting the next word in a sentence is a sequential data problem, making it suitable for recurrent neural networks. LSTMs are particularly effective for this task as they can capture long-term dependencies in the data, which is essential for predicting words in a sentence.
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