Disadvantages of RNN

Recurrent Neural Networks (or RNNs) are the first of their kind neural networks that can help in analyzing and learning sequences of data rather than just instance-based learning. Just like any other ML techniques it has some disadvantages which leaves the door open for improvement.

The main Disadvantages of RNNs are:

Training RNNsThe vanishing or exploding gradient problemRNNs cannot be stacked upSlow and Complex training proceduresDifficult to process longer sequences

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