ฝัง
- เผยแพร่เมื่อ 17 ก.ย. 2024
- In this lecture, we learn about multi-head attention with weight splits. We see a step by step mathematical explanation of each and every step of calculating multi-head attention.
After this in-depth lecture, you will master the foundations of multi-head attention: theory as well as code.
0:00 Multi-head attention recap
3:18 Multi-head attention with weight splits introduction
9:41 Defining inputs
11:44 Decide output dimension, number of heads
13:45 Initialize trainable key, query, value weight matrices
16:12 Calculate the key, query and value matrices
19:14 Unroll key, query, value dimensions to include num_heads
24:48 Group matrices by number of heads
28:45 Finding attention scores
36:00 Finding attention weights
44:05 Finding multi-head context vectors
54:50 Hands on example testing
59:31 Conclusion
Link to code file: drive.google.c...
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