ML/NLP, 수학, typography(폰트,font), .... 등에 다양하게 쓰이는 단어
ML/NLP:
{
MKL-reciprocally
임베딩,embedding
언임베딩,unembedding =언임베딩,unembedding =,unembedding 언임베딩 unembedding {
unembedding } //unembedding .... 
unembedding 
unembedding
어텐션,attention
MLP,multilayer_perceptron or multi-layer_perceptron
{
MKL-reciprocally
임베딩,embedding
언임베딩,unembedding =언임베딩,unembedding =,unembedding 언임베딩 unembedding {
unembedding } //unembedding .... unembedding unembedding어텐션,attention
MLP,multilayer_perceptron or multi-layer_perceptron
word_embedding =,word_embedding . word_embedding
{
word embedding
rel
원핫,one-hot
단어,word
특징,feature?
전처리,preprocessing인가? always? 자연어,natural_language를 기계가 이해할 수 있으려면 벡터공간,vector_space에 embed해야(ie 단어,word 문장 뭐뭐 등등을, 벡터공간의 원소인 벡터,vector로 만들어야)하는데... chk
links en
Deep Learning, NLP, and Representations - colah's blog
https://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
심층학습,deep_learning과 연관지어 설명
} // word embedding ...
word embedding word embedding word embedding
} // ML, NLP에서 embeddingword embedding
rel
원핫,one-hot
단어,word
특징,feature?
전처리,preprocessing인가? always? 자연어,natural_language를 기계가 이해할 수 있으려면 벡터공간,vector_space에 embed해야(ie 단어,word 문장 뭐뭐 등등을, 벡터공간의 원소인 벡터,vector로 만들어야)하는데... chk
links en
Deep Learning, NLP, and Representations - colah's blog
https://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
심층학습,deep_learning과 연관지어 설명
} // word embedding ...
word embedding word embedding word embedding
수학:
embedding
https://en.wikipedia.org/wiki/Embedding
graph_embedding =,graph_embedding =,graph_embedding . graph_embedding
{
graph embedding
graph_embedding x 2023-08-26
https://en.wikipedia.org/wiki/Graph_embedding - In topological graph theory, { https://en.wikipedia.org/wiki/Topological_graph_theory }
} // "graph embedding" ....
graph embedding - 평면에의 매장 언급만 있음 (수백) / graph embedding
order_embedding =,order_embedding =,order_embedding . order_embedding
{
order embedding
https://en.wikipedia.org/wiki/Order_embedding
order_embedding x 2023-08-26
order embedding x 2023-08-26
Up: 순서,order
}//order embedding ....order embedding order embedding
see also and merge: 수학,math#s-1
embeddinghttps://en.wikipedia.org/wiki/Embedding
graph_embedding =,graph_embedding =,graph_embedding . graph_embedding
{
graph embedding
graph_embedding x 2023-08-26https://en.wikipedia.org/wiki/Graph_embedding - In topological graph theory, { https://en.wikipedia.org/wiki/Topological_graph_theory }
rel. 평면그래프,planar_graph
Up: 그래프,graph} // "graph embedding" ....
graph embedding - 평면에의 매장 언급만 있음 (수백) / graph embeddingorder_embedding =,order_embedding =,order_embedding . order_embedding
{
order embedding
https://en.wikipedia.org/wiki/Order_embedding
order_embedding x 2023-08-26order embedding x 2023-08-26Up: 순서,order
}//order embedding ....
order embedding order embeddingsee also and merge: 수학,math#s-1
기타 embedded
embedded - computer 하드웨어,hardware쪽에 쓰임
https://en.wikipedia.org/wiki/Embedded
https://foldoc.org/embedded system
embedded - computer 하드웨어,hardware쪽에 쓰임
https://en.wikipedia.org/wiki/Embedded
https://foldoc.org/embedded system
AKA imbedding
TMP WORKING 2023-08-27
embedding - 일단 embedding은 '매장 매입' / but 묻기 매장 매입 끼워넣기 몰입 - 이 모두 보임.
embedding - 끼워넣기
embedding x
embedding영한사전: "어떤 위상(位相) 공간에서 다른 위상 공간으로의 동상 사상(同相寫像)"
embedding
embedding - good
embedding x
embedding
embedding - 일단 embedding은 '매장 매입' / but 묻기 매장 매입 끼워넣기 몰입 - 이 모두 보임.embedding - 끼워넣기embedding xembedding영한사전: "어떤 위상(位相) 공간에서 다른 위상 공간으로의 동상 사상(同相寫像)"embeddingembedding - goodembedding xembedding
Ndict:
Google:
Bing:
YouTube:
Srch:
Google:
Bing:
YouTube:
Srch: