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Recurrent Neural Network.
Recurrent Neural Network Table Of Contents: What Are Recurrent Neural Networks? The Architecture of a Traditional RNN. Types Of Recurrent Neural Networks. How Does Recurrent Neural Networks Work? Common Activation Functions. Advantages And Disadvantages of RNN. Recurrent Neural Network Vs Feedforward Neural Network. Backpropagation Through Time (BPTT). Two Issues Of Standard RNNs. RNN Applications. Sequence Generation. Sequence Classification. (1) What Is Recurrent Neural Network? Recurrent Neural Network(RNN) is a type of Neural Network where the output from the previous step is fed as input to the current step. In traditional neural networks, all the inputs and outputs are independent of each other.
