Posted 1/21/2024, 8:22:27 AM
Demystifying Recurrent Neural Networks: A Step-by-Step Guide to Understanding and Implementing RNNs for Time Series Data
- Explains the mathematical foundations behind Recurrent Neural Networks (RNNs) which are useful for sequential data
- Walks through the equations for the forward and backward pass of RNNs
- Provides Python code to implement an RNN from scratch and train it on a time series dataset
- Tests the trained RNN model on unseen data to demonstrate its predictive capabilities
- Discusses extensions of RNNs like LSTM and Transformers that are widely used for more complex sequential data