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Machine Learning Recurrent Neural Networks
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What is the key difference between a Recurrent Neural Network (RNN) and a Feedforward Neural Network (FNN)?
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A
RNNs have feedback connections, while FNNs do not.
💡 Explanation:
The key difference between RNNs and FNNs is that RNNs have feedback connections, which allow them to learn from sequential data. This means that the output of an RNN at a given time step can be used as input at the next time step.