Recurrent Neural Networks and Transformers

​ - Introduction
​ - Sequence modeling
​ - Neurons with recurrence
- Recurrent neural networks
​ - RNN intuition
​ - Unfolding RNNs
- RNNs from scratch
- Design criteria for sequential modeling
- Word prediction example
​ - Backpropagation through time
- Gradient issues
​ - Long short term memory LSTM
​ - RNN applications
- Attention fundamentals
- Intuition of attention
- Attention and search relationship
- Learning attention with neural networks
- Scaling attention and applications
- Summary