티스토리 뷰
https://colah.github.io/posts/2015-08-Backprop/
Calculus on Computational Graphs: Backpropagation -- colah's blog
Calculus on Computational Graphs: Backpropagation Posted on August 31, 2015 <!-- by colah --> Introduction Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with
colah.github.io
많은 deep learning framework 가 computational graphs 를 써서 backpropagation 을 하는데, 이 computational graphs 는 어떤 값이 들어가 있고, gradient 는 어떻게 계산되는지 상당히 잘 나와있음
공지사항
최근에 올라온 글
최근에 달린 댓글
- Total
- Today
- Yesterday
링크
TAG
- Bert
- weight vector
- 워터마킹
- Neural Language Model
- cs224n
- Attention Mechanism
- Contextual Embedding
- 뉴럴넷
- Statistical Language Model
- neurone
- nlp
- language model
- neural network
- 언어모델
- 뉴런
- Pre-trained LM
- 벡터
- LM
- GPTZero
- word embedding
- transformer
- Elmo
| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |||
| 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| 12 | 13 | 14 | 15 | 16 | 17 | 18 |
| 19 | 20 | 21 | 22 | 23 | 24 | 25 |
| 26 | 27 | 28 | 29 | 30 | 31 |
글 보관함