27 min
Attention Is All You NeedYannic KilcherWatch Yannic Kilcher's walkthrough of the paper to see how you could read and understand the paper.
Recommended in r/MachineLearning
Transformers
6 videos about transformers that people linked on Reddit, from the AI shelf.
Also see AI
27 min
Attention Is All You NeedYannic Kilcher
26 min
Building Your Own Language ModelVahid KazemiI found this video( incredibly helpful!
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1 h 56 min
Let's build GPT: from scratch, in code, spelled out.Andrej KarpathyTry to implement the architecture from scratch. I like Andrej’s video in youtube.
Recommended in r/learnmachinelearning
1 h 15 min
Lecture 14 – Contextual Vectors | Stanford CS224U: Natural Language Understanding | Spring 2019Stanford OnlineWatch the CS224u lecture on contextual vectors to contextualize Transformer in the broader scope of this sub-topic.
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54 min
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 14 – Transformers and Self-AttentionStanford OnlineWatch the CS224n guest lecture by the Transformer co-author to give you sense of how the paper came about and its intentions.
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36 min
Fastformer: Additive Attention Can Be All You Need (Machine Learning Research Paper Explained)Yannic KilcherPosted to r/MachineLearning: [D] Paper Explained - Fastformer: Additive Attention Can Be All You Need (Full Video Analysis)