Preparing your workspace
Phase 1: The Mathematics of Attention
2 modules · 0 lessons
Phase 2: Architecture Design Decisions
2 modules · 0 lessons
Module 1: Attention Mechanics in Depth
Module 2: Positional Information Without Recurrence
Module 1: Residual Connections and Normalization
Module 2: Training and Optimization Strategies
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An intermediate exploration of the Transformer architecture from 'Attention Is All You Need.' Go beyond intuition into the math, implementation details, and design decisions that make Transformers work.
The course has 0 lessons estimated at approximately 0 hours of learning. You can learn at your own pace.
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