Natural Language Processing
Sequence Models & The Dawn of Attention
You'll explore why RNNs and LSTMs struggle with long sequences, then build attention mechanisms from the ground up, mastering the QKV paradigm and creating reusable attention modules in PyTorch.
MatPlotLib
Python
PyTorch
4 lessons
17 practices
3 hours
Badge for Deep Learning for NLP,
Course details
Revisiting Sequence Models: RNNs, LSTMs, and Their Limits
Building Your First LSTM Model
Generate Sequential Memory Challenge
Switching Prediction Targets
Training Your First LSTM Model
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