Natural Language Processing
Deconstructing the Transformer Architecture
You'll systematically build the Transformer architecture from scratch, creating Multi-Head Attention, feed-forward networks, positional encodings, and complete encoder/decoder layers as reusable PyTorch modules.
Python
PyTorch
5 lessons
22 practices
4 hours
Course details
Multi-Head Attention Mechanism
Building Parallel Attention
Building Strong Neural Foundations
Building Selective Attention Mechanisms
Tensor Surgery for Attention Heads
Bringing Attention Heads Back Together
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