A research team wants to train a model that can generate music based on the style of a given composer. What type of neural network architecture might be most effective for such a task?
- Convolutional Neural Network (CNN)
- Echo State Network (ESN)
- Radial Basis Function Network (RBFN)
- Recurrent Neural Network (RNN)
For generating music based on the style of a composer, a 'Recurrent Neural Network (RNN)' is an effective choice. RNNs are capable of modeling sequential data, making them suitable for tasks that involve capturing patterns and structures in music compositions over time.
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