Recurrent Neural Network (RNN) is a type of neural network architecture designed for sequence modeling and processing tasks. Unlike feedforward neural networks, which process each input independently, RNNs have connections that allow them to combine information about previous inputs into their current computations.
In this tutorial, we'll briefly learn about RNNs and how to implement a simple RNN model with sequential data in PyTorch covering the following topics:
- Introduction to RNNs
- Data preparing
- Model definition and training
- Prediction
- Conclusion
Let's get started