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

See path

5 lessons

22 practices

Less than 5 hours

Course details

Multi-Head Attention Mechanism

Preview

Building Parallel Attention

Building Strong Neural Foundations

Building Selective Attention Mechanisms

Tensor Surgery for Attention Heads

Bringing Attention Heads Back Together

Previous Course Next Course: Bringing Transformers to Life: Training & Inference

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Deconstructing the Transformer Architecture

Course details

Turn screen time into skills time

Join the 1M+ learners on CodeSignal

From our community

From our community

Deconstructing the Transformer Architecture

Course details

Unit 15 practices57 min

Unit 24 practices48 min

Unit 34 practices48 min

Unit 44 practices48 min

Unit 55 practices57 min

Turn screen time into skills time

Join the 1M+ learners on CodeSignal

From our community

From our community