Verified75% confidenceFactExact time
RNNs suffer from vanishing/exploding gradient problems, where gradients propagating across a large number of time steps decay or grow exponentially, making it difficult to learn long-range dependencies.
3
Sources
75%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
Why Do Transformer Learning Paths Always Start Too Late? Order Matters More Than Materials
redditr/learnmachinelearning7/11/2026
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