Goal: Check how sequential processing might be possible for robots
Contents 4h 43m
- Lecture 10. Recurrent Neural Networks 1h 25m
- Lecture 11. Sequence to Sequence 1h 11m
- Lecture 12. Transformers 1h 4m
- Lecture 13. NLP 1h 3m
'AI, Deep Learning Basics > NLP' 카테고리의 다른 글
[생각노트] GPT-3 / Chain of thoughts: InstructGPT (0) | 2022.07.29 |
---|---|
[NLP] 4. Modern Recurrent Neural Networks: Seq2Seq (0) | 2022.02.12 |
[NLP] 3. Modern Recurrent Neural Networks: GRU, LSTM (0) | 2022.02.05 |
[NLP] 2. RNN Basics: Language Model (0) | 2022.02.01 |
[NLP] 1. Introduction of NLP, Word2vec (0) | 2022.01.22 |