경사하강법 (Gradient Descent)의 기본 개념을 쉽게 알려드립니다
This video will help you understand the mathematics of gradient descent. I've tried to explain it as simply as possible. However, if you lack a basic understanding of partial differentiation, I recommend learning it first. -- TensorFlow Certification Short-Term Course: https://bit.ly/tfcert-vod TensorFlow Certification Information (Blog): https://bit.ly/tf-cert-blog Teddy Note (GitHub Blog): https://teddylee777.github.io

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Gradient descent method implemented in Python code
![[Easy! 딥러닝] 3-2강. 확률적 경사 하강법 (SGD: Stochastic Gradient Descent) 주머니 예시로 쉽게 설명해 드려요](https://i.ytimg.com/vi/goBkxDdJX8Y/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDIlt7cVYX_iTC1AGuocNY1U91xEw)
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[Easy! 딥러닝] 3-2강. 확률적 경사 하강법 (SGD: Stochastic Gradient Descent) 주머니 예시로 쉽게 설명해 드려요
![[딥러닝] 1-3강. 그라디언트가 왜 가장 가파른 방향을 향할까? #방향도함수 #directional_derivative](https://i.ytimg.com/vi/MeyIV72Gvpw/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCxRp29-fiFpWinVMkLZ-V4_yzMug)
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[딥러닝] 1-3강. 그라디언트가 왜 가장 가파른 방향을 향할까? #방향도함수 #directional_derivative
![[Easy! 딥러닝] 2-4강. 경사 하강법 (Gradient Descent) | step by step 으로 차근차근 알아보기](https://i.ytimg.com/vi/HM6Ym0SUew0/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBAcsuVh8Fm6twfJ_NpWp1AxxOelg)
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[Easy! 딥러닝] 2-4강. 경사 하강법 (Gradient Descent) | step by step 으로 차근차근 알아보기
![[Neural Network 8] 경사하강법](https://i.ytimg.com/vi/h_hGyqhHNMc/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBgSlfbl8-K9Jvdsv-bz1ytOvMe7A)
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[Neural Network 8] 경사하강법

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Conjugate Gradient Method

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Smooth-Maximum, the most useful function
![[Knowledge in] Do dots really come together to form a line?](https://i.ytimg.com/vi/YZKp8cLS4Fw/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAoUzrmkNxe8jdG2A7S-HZ-MtVWCQ)
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[Knowledge in] Do dots really come together to form a line?

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AI가 궁금하다면 봐야할 기초영상 경사하강법 - DL2
![선형대수학 무료강의 - [서울대 AI박사] - 행렬, 벡터, 스칼라, 텐서 등 인공기능 수학 기초](https://i.ytimg.com/vi/k_yto_vDRF0/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDvZJcCWkIjH8rRV-rFRmRe8J0-SA)
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선형대수학 무료강의 - [서울대 AI박사] - 행렬, 벡터, 스칼라, 텐서 등 인공기능 수학 기초

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Best Explanation of Gradient, Divergence and Curl

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인공지능 수학 4. (심화) 최적화, 경사하강법
![[리처드 파인만] 천재 물리학자의 시각에서 바라본 세상 (한영 자막)](https://i.ytimg.com/vi/8n80LX2LGjY/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAHo1Fh4tPX6Il81w0taOW7ulMqRA)
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[리처드 파인만] 천재 물리학자의 시각에서 바라본 세상 (한영 자막)
![[딥러닝 수학 1편] l 선형대수학 총정리 l 서울대 AI 박사과정](https://i.ytimg.com/vi/cpRgDDoGktk/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLB-xXjNxza6faeJOloxWASFBLPnMQ)
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[딥러닝 수학 1편] l 선형대수학 총정리 l 서울대 AI 박사과정

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Palantir Completely Changed the War, Russia Is Furious... Nuclear War?! | Professor Lee Moon-youn...

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How Laplace Solved The Gaussian Integral!
![[Knowledge in] Ramanujan Summation](https://i.ytimg.com/vi/uOcGY30gyWo/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBiHb61uYWKc8hI-4q1SuMHbO6ntA)
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[Knowledge in] Ramanujan Summation
![[Deep Learning 101] Introducing Stochastic Gradient Descent](https://i.ytimg.com/vi/mccscAH2kkk/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLCyDKZJfGgoVzQbqdIM2iAYVn5i-w)
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[Deep Learning 101] Introducing Stochastic Gradient Descent
![[ODE Ep.4] 완전미분방정식의 해는 이렇게 생겼습니다.](https://i.ytimg.com/vi/E-27xVwrCXU/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDWbicqo5-PqVxk-m7EYSZDuN_ZRQ)
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[ODE Ep.4] 완전미분방정식의 해는 이렇게 생겼습니다.

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