What is RNN architecture and how does it work?
An example of an AI chatbot conversation about RNN architecture and its functionality.
What is RNN architecture and how does it work?
RNN stands for Recurrent Neural Network. It's a type of neural network designed for sequential data, allowing information to persist.
What are the main components of an RNN?
The main components of an RNN include input layers, hidden layers, and output layers, with connections that loop back.
How does RNN handle long sequences?
RNNs can struggle with long sequences due to vanishing gradients, but techniques like LSTM and GRU help mitigate this.
Can you give an example of RNN applications?
Sure! RNNs are used in applications like language modeling, speech recognition, and time series prediction.
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