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https://k21academy.com/datascience-blog/machine-learning/recurrent-neural-networks/#:~:text=Recurrent%20Neural%20Networks%20enable%20you,the%20matter%20of%20vanishing%20gradients.

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Recurrent Neural Networks | RNN Complete Overview 2023

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Recurrent Neural Networks (RNN) : Get to know more about RNN Training, Advantages, Disadvantages.& Examples with brief explanations.

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https://www.youtube.com/watch?v=9jv2D6RlrSc

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What is LSTM (Long Short Term Memory)? Pros and Cons of Recurrent Neural Network

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Training an RNN is a very difficult task.

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It cannot process very long sequences if using "tanh" or "relu" an activation function.

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The capacity of the RNN can be used in many temporal processing models and applications.

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RNN is capable of approximating nonlinear dynamical systems with great precision by realizing complex mappings.

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RNN can memorize previous inputs due to their internal memory.

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Gradient vanishing and exploding problems.