Convolutional Neural Networks (CNN) are primarily used for image processing

What is the difference between CNN and RNN?

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Answer Posted / Rishi Raj Singh

Convolutional Neural Networks (CNN) are primarily used for image processing tasks, while Recurrent Neural Networks (RNN) are used for sequential data like text or time series. CNN processes data with a grid-like topology such as an image. RNN has a sequential memory, making it suitable for understanding the sequence of words in a sentence.

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