RNN and LSTM Cells in PyTorch - Lab 4.2

Learn to implement RNN layers from scratch and explore PyTorch's built-in RNN and LSTM implementations in this hands-on lab tutorial. Work through practical examples of building recurrent neural networks, starting with a manual implementation to understand the forward pass computations, then transition to using PyTorch's efficient RNN and LSTM cell implementations. Access the provided Colab notebook to follow along with code examples and gain deeper insights into the mathematical foundations of RNNs, referencing both PyTorch's documentation and the original LSTM research paper for comprehensive understanding of these fundamental deep learning concepts.