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인공지능 특강 - 머신러닝, 딥러닝

[인공지능 특강] 1강. 인공지능의 개요

https://youtu.be/KF2YTvFhO6Q?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 2강. 머신러닝 파이프라인

https://youtu.be/n2tK22GoEug?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 3강. 머신러닝에서 주로 마주하는 문제들

https://youtu.be/3Us1BtAc72A?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 4강. 분류와 혼동행렬

https://youtu.be/H1Tb-cDP-mY?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 5강. 회귀와 손실함수

https://youtu.be/OcpUsAHNFgU?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 6강. 경사하강법과 하이퍼파라미터

https://youtu.be/Jyjwftr5t50?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 7강. SVM과 결정트리

https://youtu.be/lVhEwOaBUxY?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 8강. 앙상블과 랜덤포레스트

https://youtu.be/ja3yvO1qyIs?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 9강. 계층적 군집분석

https://youtu.be/xuK0I5OfICI?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 10강. 분할적 군집분석

https://youtu.be/zJfGMgDu7-w?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 11강. 차원 축소

https://youtu.be/b4agg-0cL88?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 12강. 연관규칙분석

https://youtu.be/GevpDnwU4UI?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 13강. 강화학습

https://youtu.be/uIdAKselp0c?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 14강. 시계열 분석

https://youtu.be/QVb6XOTJ0fw?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 15강. 인공신경망의 역사

https://youtu.be/bOJpMDy4gBU?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 16강. 활성함수의 필요성과 오류역전파

https://youtu.be/US5Nu7iM_YY?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 17강. 딥러닝 학습에서 마주하는 문제들

https://youtu.be/eFXGuLCnBYo?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 18강. 신경망에서의 활성함수와 손실함수

https://youtu.be/N5Q-ikk9asU?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 19강. DNN(Deep Neural Network)

https://youtu.be/R5Fd385NUWE?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 20강. CNN(Convolutional Neural Network)

https://youtu.be/Dp2Ph3v8V-E?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 21강. CNN의 활용

https://youtu.be/aXJflIs36eI?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 22강. RNN(Recurrent Neural Network)

https://youtu.be/zpMHGnSAusI?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 23강. Auto Encoder

https://youtu.be/qb67uv6Au4g?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[인공지능 특강] 24강. 자연어 처리

https://youtu.be/PShxO24jbHY?list=PLWtr7MRpQi5ATPYo3xN21Bwwd_Ut4rY0d

[Do it! 딥러닝 입문] 1장 "딥러닝을 소개합니다"

https://youtu.be/jg8zTIGDPss?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 2장 1절 "구글 코랩을 소개합니다"

https://youtu.be/_6QQnXZR7Ns?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 실습 - 2장 1절 "구글 코랩을 소개합니다"

https://youtu.be/Jb_n90gHdP0?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 2장 2절 "딥러닝을 위한 도구들을 알아 봅니다."

https://youtu.be/uP4BN3e7Ndo?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 3장 1절 "선형 회귀에 대해 알아보고 데이터를 준비합니다"

https://youtu.be/PYTZ65FzEG4?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 3장 2절 "경사 하강법으로 학습하는 방법을 알아봅니다"

https://youtu.be/7RQhfuN5qw4?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 3장 3절 "손실 함수와 경사 하강법의 관계를 알아봅니다"

https://youtu.be/iCugbiM3qLs?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 3장 4절 "선형 회귀를 위한 뉴런을 만듭니다"

https://youtu.be/AY2qhzBOpRs?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 4장 1절~2절 로지스틱 회귀와 시그모이드 함수를 소개합니다.

https://youtu.be/2aRCzamGB0E?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 4장 3절 로지스틱 손실 함수를 경사 하강법에 적용합니다.

https://youtu.be/3oi4jGIT8JU?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 4장 4절~5절 로지스틱 회귀를 위한 뉴런을 만듭니다.

https://youtu.be/1xaiFYlZyNI?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 4장 6절~7절 로지스틱 회귀 뉴런으로 단일층 신경망을 만듭니다.

https://youtu.be/qyraxyG0rBY?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 5장 1절 검증 세트를 나누고 전처리 과정을 배웁니다.

https://youtu.be/Ois-JwHSscY?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 5장 2절 과대적합과 과소적합을 알아 봅니다.

https://youtu.be/0ETHsuW6lxY?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 5장 3절 가중치 규제 ~ 4절 교차 검증

https://youtu.be/5ABhGo80tcE?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 6장 1절 신경망 알고리즘을 벡터화합니다.

https://youtu.be/1TE7aXVsLbw?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 6장 2절 2개의 층을 가진 신경망을 구현합니다.

https://youtu.be/QLLk8H4Ss9M?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 6장 3절 미니배치 경사 하강법을 구현합니다.

https://youtu.be/1MUZwQv_WNo?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 7장 여러 개를 분류합니다.

https://youtu.be/nmSfFnn0lvg?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 8장 이미지를 분류합니다 - 합성곱 신경망

https://youtu.be/nFqU_mTCsNQ?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9

[Do it! 딥러닝 입문] 9장 텍스트를 분류합니다 - 순환 신경망

https://youtu.be/iAv6yA7hv2o?list=PLJN246lAkhQgbBx2Kag0wIZedn-P9KcH9