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RNN basics
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697.
RNN vs Feedforward Networks
easy
What distinguishes a recurrent neural network from a feedforward neural network?
A
It processes all time steps simultaneously using attention mechanisms rather than sequentially step by step
B
It uses feedback connections from the output layer back to the input layer to enable iterative refinement of predictions
C
It applies the same weights at every layer rather than learning separate weights per layer as feedforward networks do in the network architecture
D
It maintains a hidden state that is passed from one time step to the next, enabling the network to process sequential data
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