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πŸ‡°πŸ‡·νŒŒμ΄ν† μΉ˜μ—μ„œ μ œκ³΅ν•˜λŠ” νŠœν† λ¦¬μ–Όμ˜ ν•œκ΅­μ–΄ λ²ˆμ—­μ„ μœ„ν•œ μ €μž₯μ†Œμž…λ‹ˆλ‹€. (Translate PyTorch tutorials in KoreanπŸ‡°πŸ‡·)

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## 이슈 λ‚΄μš© _μ–΄λ–€ μ΄μŠˆμΈμ§€ μ•Œλ €μ£Όμ„Έμš”._ `sampling rate`에 λŒ€ν•œ λ²ˆμ—­μ–΄ μ‚¬μš© - ν†΅κ³„ν•™μ—μ„œ `sampling`은 'ν‘œλ³ΈμΆ”μΆœ`이라고 λ²ˆμ—­ν•˜λŠ” κ²½μš°κ°€ λ§ŽμŠ΅λ‹ˆλ‹€. - κ·Έλ ‡κΈ° λ•Œλ¬Έμ— sampling rateλΌλŠ” λ‹¨μ–΄λŠ” ν‘œλ³ΈμΆ”μΆœλΉ„μœ¨ 이라고 λ²ˆμ—­ν•˜λ©΄ λ‹€λ₯Έ 뢄듀도 더...

## 이슈 λ‚΄μš© https://tutorials.pytorch.kr/intermediate/jacobians_hessians μœ„ λ¬Έμ„œλŠ” 아직 λ²ˆμ—­λ˜μ–΄ μžˆμ§€ μ•ŠμŠ΅λ‹ˆλ‹€. ν•˜μ§€λ§Œ "Jacobians", "Hessians" μš©μ–΄λ“€μ„ μ–΄λ–»κ²Œ λ²ˆμ—­ν• μ§€μ— λŒ€ν•œ λ…Όμ˜κ°€ μ•žμœΌλ‘œ ν•„μš”ν•  κ²ƒμž…λ‹ˆλ‹€. μ €λŠ” 기반 지식이 λΆ€μ‘±ν•΄μ„œ, μˆ˜ν•™μ— μ΅μˆ™ν•˜μ‹  λ‹€λ₯Έ λΆ„λ“€μ˜ μ˜κ²¬μ„...

## λ¬Έμ„œ URL _μˆ˜μ •μ΄ ν•„μš”ν•œ URL을 λ‚¨κ²¨μ£Όμ„Έμš”. (예. https://tutorials.pytorch.kr/beginner/basics/intro.html)_ - **URL**: https://github.com/PyTorchKorea/tutorials-kr/blob/master/advanced_source/cpp_export.rst ## λ³€κ²½ 사항 _(1)μ–΄λ–€ 단어 / λ¬Έμž₯ / λ‚΄μš©μ΄ (2)μ–΄λ–»κ²Œ λ³€κ²½λ˜μ–΄μ•Ό ν•œλ‹€κ³  μƒκ°ν•˜μ„Έμš”?_ 1. 이둜 인해 상 용...

## λ¬Έμ„œ URL _μˆ˜μ •μ΄ ν•„μš”ν•œ URL을 λ‚¨κ²¨μ£Όμ„Έμš”. (예. https://tutorials.pytorch.kr/beginner/basics/intro.html)_ - **URL**: https://tutorials.pytorch.kr/advanced/cpp_frontend.html ## λ³€κ²½ 사항 _(1)μ–΄λ–€ 단어 / λ¬Έμž₯ / λ‚΄μš©μ΄ (2)μ–΄λ–»κ²Œ λ³€κ²½λ˜μ–΄μ•Ό ν•œλ‹€κ³  μƒκ°ν•˜μ„Έμš”?_ λ•Œκ°€ 떄라고 쓰인 뢀뢄이 두...

## 이슈 λ‚΄μš© softmax layerμ—μ„œ μ‚¬μš©ν•˜λŠ” Temperature νŒŒλΌλ―Έν„°λŠ” 생성 λͺ¨λΈ λ“±μ—μ„œλ„ μ“°μ΄λŠ” hyper parmeterμž…λ‹ˆλ‹€. κ·ΈλŸ¬λ‚˜ λ”₯λŸ¬λ‹μ„ 곡뢀할 λ•Œ λ‹¨μˆœνžˆ λ°›μ•„λ“€μ—¬μ§€λŠ” λŠλ‚Œμ€ "μ˜¨λ„? λ­₯λ―Έ?"λΌλŠ” λŠλ‚Œμ΄ κ°•ν•©λ‹ˆλ‹€. λ”°λΌμ„œ 이 Temperatureκ°€ λ‚˜μ˜¨ μ“°μž„κ³Ό...

## 이슈 λ‚΄μš© μš©μ–΄μ§‘μ˜ μš©μ–΄ μ‚¬μš© κ·œμΉ™μ— μΆ”κ°€ν•  단어λ₯Ό μ œμ•ˆλ“œλ¦½λ‹ˆλ‹€. 1. activation: ν™œμ„±ν™” ## μΆ”κ°€ 정보

## 이슈 λ‚΄μš© _μ–΄λ–€ μ΄μŠˆμΈμ§€ μ•Œλ €μ£Όμ„Έμš”._ https://tutorials.pytorch.kr/beginner/nlp/advanced_tutorial.html μ—¬κΈ°μ„œλŠ” emissionμ΄λΌλŠ” 단어λ₯Ό 배좜둜 λ²ˆμ—­ν•˜κ³  μ‚¬μš©ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. κ·ΈλŸ¬λ‚˜, μœ„ν‚€ν”Όλ””μ•„, matlab ν•œκ΅­μ–΄ μ‚¬μ΄νŠΈμ—μ„œλŠ” emissionλ₯Ό 좜λ ₯μ΄λΌλŠ” λ‹¨μ–΄λ‘œ μ‚¬μš©ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. emissionμ΄λΌλŠ” 단어λ₯Ό 좜λ ₯μ΄λΌλŠ” λ‹¨μ–΄λ‘œ λ²ˆμ—­ν•˜κ³  μ‚¬μš©ν•˜λŠ”...

## 이슈 λ‚΄μš© μš©μ–΄μ§‘μ˜ μš©μ–΄ μ‚¬μš© κ·œμΉ™μ„ μΆ”κ°€ν•©λ‹ˆλ‹€. 이미 λ²ˆμ—­λœ λ¬Έμ„œλ“€μ—μ„œ ν”νžˆ 적용되고 μžˆλŠ” λ²ˆμ—­ μ‚¬λ‘€μ΄λ‚˜, μš©μ–΄μ§‘μ—λŠ” κΈ°λ‘λ˜μ–΄ μžˆμ§€ μ•Šμ•„ μΆ”κ°€ν•˜λ©΄ 쒋을 것 κ°™μŠ΅λ‹ˆλ‹€. 1) initialization: μ΄ˆκΈ°ν™” 2) pruning: κ°€μ§€μΉ˜κΈ°...

## 이슈 λ‚΄μš© 기쑴에 warmstart(μ΄ν•˜ μ›œμŠ€νƒ€νŠΈ)λŠ” **λΉ λ₯΄κ²Œ μ‹œμž‘ν•˜κΈ°**둜 λ²ˆμ—­λ˜μ–΄μžˆμŠ΅λ‹ˆλ‹€. μ›œμŠ€νƒ€νŠΈλŠ” κ°œλ…μ μœΌλ‘œ **이미 ν•œλ²ˆ 이상 μ‹€ν–‰ν•œ λ’€λ‘œ 데이터가 λ©”λͺ¨λ¦¬μ— 일뢀 μΊμ‹œλœ μƒν…Œλ‘œ μ‹œμž‘ν•˜λŠ” 것**인데, μ•„λ§ˆ νŒŒμ΄ν† μΉ˜ νŠœν† λ¦¬μ–Όμ—μ„œλŠ” λ”₯λŸ¬λ‹μ—μ„œ μ˜λ―Έν•˜λŠ” 전이 ν•™μŠ΅μ„...

## λ¬Έμ„œ URL _μˆ˜μ •μ΄ ν•„μš”ν•œ URL을 λ‚¨κ²¨μ£Όμ„Έμš”. (예. https://tutorials.pytorch.kr/beginner/basics/intro.html)_ - **URL**: https://github.com/PyTorchKorea/tutorials-kr/blob/master/intermediate_source/model_parallel_tutorial.py ## λ³€κ²½ 사항 μΌλ°˜μ μ„λ‘œ -> 일반적으둜 ## μΆ”κ°€ 정보 두 개의 νŒŒμΌμ„ 항상 λ™μ‹œμ— μˆ˜μ •ν•΄μ•Όλ˜λŠ” 것인지 κΆκΈˆν•©λ‹ˆλ‹€ 일단은...