Vanilla RNN

This video series covers Recurrent Neural Networks from the ground up, with accompanying code. Goes from the intuition behind sequential memory through forward and backward propagation derivations, vanishing and exploding gradients, and why the field moved on to LSTMs and Transformers. Built for anyone who wants to understand RNNs mathematically, not just use them.