What are the differences between RNN and CNN?
RNNs (Recurrent Neural Networks) are designed for sequential data, while CNNs (Convolutional Neural Networks) excel in image processing.
Can you explain how RNNs handle sequences?
RNNs maintain a hidden state that captures information from previous inputs, allowing them to process sequences of varying lengths.
What types of tasks are best suited for CNNs?
CNNs are particularly effective for image classification, object detection, and any task involving spatial hierarchies in data.
Are there any scenarios where I should use RNN over CNN?
Yes, use RNNs for tasks like language modeling, time series prediction, or any application where the order of data matters.
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