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Transformer Overview
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Self Attention
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Multihead Attention
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Position Encoding
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Layer Normalization
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Architecture Deep Dive
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Encoder Code
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Decoder Code
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Sentence Tokenization
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Training and Inference
Description:
Dive into a comprehensive 3-hour 35-minute video tutorial on transformers, starting from the basics and progressing to advanced concepts. Explore key topics including self-attention, multihead attention, position encoding, and layer normalization. Gain a deep understanding of transformer architecture through an in-depth analysis, followed by practical coding sessions for both encoder and decoder implementations. Learn about sentence tokenization techniques and conclude with insights into training and inference processes. Perfect for those looking to master transformer technology from the ground up.

Transformers - From Zero to Hero

CodeEmporium
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