Learn EDR Internals: Research & Development From The Masters
Master Production-Ready Machine Learning, Step by Step
Overview
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An introduction to transformer models, covering their architecture and key components before implementing encoder and decoder code. It also covers sentence tokenization, training, and inference.
Syllabus
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Transformer Overview
Self Attention
Multihead Attention
Position Encoding
Layer Normalization
Architecture Deep Dive
Encoder Code
Decoder Code
Sentence Tokenization
Training and Inference
Taught by
CodeEmporium