📄️ RNN Basics
An introduction to Recurrent Neural Networks, hidden states, and processing sequential data.
📄️ GRUs
A deep dive into the GRU architecture, its update and reset gates, and how it compares to LSTM.
📄️ LSTM
A deep dive into the LSTM architecture, cell states, and the gating mechanisms that prevent vanishing gradients.