What are the advantages of using the tanh activation function over sigmoid and ReLU in recurrent neural networks?
Data Science and Machine Learning (Theory and Projects) A to Z - Vanishing Gradients in RNN: GRU
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Describe the process of how candidate activations are generated in a GRU.
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What are the learnable parameters in a Gated Recurrent Unit and how are they optimized?
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Compare the effectiveness of GRUs and LSTMs in handling the vanishing gradient problem.
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