Lec 15 : Introduction to Transformer: Self & Multi-Head Attention
1:26:53
Lec 16 : Introduction to Transformer: Positional Encoding and Layer Normalization
40:08
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
57:45
Visualizing transformers and attention | Talk for TNG Big Tech Day '24
36:16
The math behind Attention: Keys, Queries, and Values matrices
2:28:43
Reinforcement Learning Crash Course – Train AI to Play Pong with PyTorch
29:33
Les mathématiques de DeepSeek R1 expliquées avec Triangle Creatures
36:52
Lec 11 : Neural Language Models: LSTM & GRU
1:01:31