Job category:Artificial Intelligence
444 learners

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
Badge for Deep Learning for NLP,

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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