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머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식

• PyTorch for Deep Learning & Machine Learning – Full Course

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 3. 6. 22:10

  https://youtu.be/V_xro1bcAuA

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• 그림으로 뇌 신경망과 뉴럴 네트워크 비교 설명 굿👍Dendrites: Why Biological Neurons Are Deep Neural Networks

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 2. 27. 07:59

  Dendrites: Why Biological Neurons Are Deep Neural Networks https://youtu.be/hmtQPrH-gC4

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• Multiple View Geometry 컴퓨터 비젼 특강 -출처: 한동대학교

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 2. 23. 18:16

  part1 https://youtu.be/N6vP0T1Xabg

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• MIT Introduction to Deep Learning | 6.S191

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 2. 22. 09:55

  MIT Introduction to Deep Learning | 6.S191 https://youtu.be/7sB052Pz0sQ

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• Python 개발자 딥러닝_머신러닝 관련github

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 2. 21. 21:40

  https://junha1125.github.io/ Just Do It And Then Some 어려운 게 아니고, 모르는 거다. 모르면 배우면 된다. 우울해 할 것 하나 없다. 생각하지 말고 그냥하자. 나는 운이 아주 좋다. 모든 일은 내 뜻대로 된다. junha1125.github.io

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• Learn PyTorch for deep learning in a day. Literally.(25hr❤️

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 2. 15. 18:02

  Learn PyTorch for deep learning in a day. Literally. https://youtu.be/Z_ikDlimN6A

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• 딥러닝을 위해 어떤 GPU를 골라야 할까?

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 1. 31. 18:48

  ▲ https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/ The Best GPUs for Deep Learning in 2023 — An In-depth Analysis Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget. timdettmers.com 딥러닝을 위해 어떤 GPU를 골라야 할까? (timdettmers.com) 10P by xguru 8일전 | favorite | 댓글 3개 https://news.hada.io/topic?id=83..

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• OpenAI의 창립멤버이자Tesla에서5년간AI총괄이었던💕Andrej Karpathy가6개월 전에 테슬라에서 퇴사하면서 이제는 AI/오픈소스/교육 분야에서 활동

  머신러닝_MachineLearning_AI/머신러닝_MachineSyntax_기초상식 2023. 1. 31. 18:46

  https://karpathy.ai/zero-to-hero.html Neural Networks: Zero To Hero 1h57m We implement a bigram character-level language model, which we will further complexify in followup videos into a modern Transformer language model, like GPT. In this video, the focus is on (1) introducing torch.Tensor and its subtleties and use in ef karpathy.ai https://news.hada.io/topic?id=8322 Neural Networks : Zero to ..

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