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add one word and some translates #62

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add one word and some translates #62

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15 changes: 8 additions & 7 deletions 071/TERMINOLOGY.md
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Expand Up @@ -47,7 +47,7 @@
| dimension | 차원 |
| diverge | |
| dropout | 드롭아웃 |
| eigenvalue | |
| eigenvalue | 고윳값 |
| empirical risk minimization | |
| encoder | |
| end-to-end | |
Expand Down Expand Up @@ -85,15 +85,16 @@
| layer | 층 |
| learning rate | 학습 속도 |
| least mean squares loss | 최소 평균 제곱 손실 |
| likelihood | 가능도 |
| linear model | |
| linear regression | |
| linear regression | 선형 회귀 |
| local minimum | |
| log likelihhod | 로그 가능도 |
| log likelihod | 로그 가능도 |
| loss function | 손실 함수 |
| machine learning | 머신 러닝 |
| marginalization | 주변화 |
| mean | |
| mean squared error | |
| mean | 평균 |
| mean squared error | 평균 제곱 오차 |
| metric | |
| mini-batch | |
| mini-batch gradient | |
Expand All @@ -105,7 +106,7 @@
| neural network | 뉴럴 네트워크 |
| neuron | 뉴런 |
| non-convex optimization | |
| normalization | |
| normalization | 정규화 |
| numerical method | |
| object detection | |
| objective function | 목적 함수 |
Expand Down Expand Up @@ -154,7 +155,7 @@
| upsample | |
| validation dataset | 검증 데이터셋 |
| vanishing gradient | 그래디언트 소실 |
| variance | |
| variance | 분산 |
| vector | 벡터 |
| weight | |
| word embedding | |
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