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L19.4.1 Using Attention Without the RNN -- A Basic Form of Self-Attention (Sebastian Raschka) View | |
L19.4.2 Self-Attention and Scaled Dot-Product Attention (Sebastian Raschka) View | |
L19.4.3 Multi-Head Attention (Sebastian Raschka) View | |
Machine Translation in RNN with Attention (Arif Waghbakriwala) View | |
Self-Attenion for RNN (1.25x speed recommended) (Shusen Wang) View | |
L19.5.2.1 Some Popular Transformer Models: BERT, GPT, and BART -- Overview (Sebastian Raschka) View | |
Pytorch for Beginners #29 | Transformer Model: Multiheaded Attention - Scaled Dot-Product (Makeesy AI) View | |
Scaled Dot Product Attention Explained + Implemented (Uygar Kurt) View | |
L19.5.2.2 GPT-v1: Generative Pre-Trained Transformer (Sebastian Raschka) View | |
Feed-Forward, Self-Attention u0026 Key-Value (Reading Papers) (Vaclav Kosar) View |