What are the evaluation metrics we can use for RNN models?

I'm working on a few RNN (Recurrent Neural Network) models and want to evaluate those models, so I'm looking for useful metrics to evaluate RNN models?

Topic recurrent-neural-network lstm tensorflow rnn neural-network

Category Data Science


You can use Mean Squared Error or Root MSE. With hyper tuning, try to reduce the values to the minimum

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