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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