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๋ชฉ๋ก๋ฅ๋ฌ๋ํน๊ฐ (1)
๐ฒ์๋ผ๋๋์ฒญ๋
๋ฅ๋ฌ๋ ๊ฐ์ 1์ผ์ฐจ
Intro to DeepLearning Motivation ์ถฉ๋ถํ ๋ฐ์ดํฐ๊ฐ ์์ผ๋ฉด ์ฌ๋๋ณด๋ค ๋ฅ๋ฌ๋ ๊ฒฐ๊ณผ๊ฐ ๋์ ๊ฒฐ๊ณผ๋ฅผ ๋ด๊ธฐ ์์ object detection(yolo) ์์ค ์ฐฝ์ AI deeparts(ํํ ๋ณํ) super resolution (ํ๋ฆฟํ ์ด๋ฏธ์ง๋ฅผ ํ ๋๋ก ํด์๋๊ฐ ์ข์ ์ด๋ฏธ์ง๋ฅผ ์์ธกํ๊ธฐ what is learning Bayesian์ ๊ด์ ์์ : ๋ฐ์ดํฐ๋ฅผ ๋ณด๊ธฐ ์ ๊ณผ ๋ณด๊ธฐ ์ดํ์ knowledge๊ฐ ๋ฌ๋ผ์ง๋ ๊ฒ data-> knowledge+data ->knowledge + data ->knowledge ๋จธ์ ๋ฌ๋ simple model : ๋ณ์๋ฅผ ๊ฐ์ฅ ์ ์ค๋ช ํ๋ ์์๋ฅผ ์ฐพ๊ธฐ(y = ax +b ์ ์์์ a ์ b ์ฐพ๊ธฐ) complex model : ์์ ํจ์๋ณด๋ค ๋ณต์กํ ํจ์ ๋ฅ๋ฌ๋์ด ๊ทธ์ ๊ณผ..
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2019. 7. 29. 14:34