machine-learning

Tensorflow.js - 03. Linear Regression

# Linear Regression ๋ช‡ ๋ฒˆ์งธ ์„ ํ˜• ํšŒ๊ท€์ธ์ง€ ์•Œ ์ˆ˜ ์—†๋‹ค. ## 01. 2d data๋กœ ์˜ˆ์ธกํ•ด๋ณด๊ธฐ ์ด๋ฒˆ ํŠœํ† ๋ฆฌ์–ผ์—์„œ๋Š” ์ž๋™์ฐจ ์„ธํŠธ๋ฅผ ํ‘œํ˜„ํ•œ ์ˆซ์ž ๋ฐ์ดํ„ฐ๋กœ ์˜ˆ์ธกํ•˜๋Š” ๋ชจ๋ธ์„ ํ›ˆ๋ จ์‹œ์ผœ ๋ด…๋‹ˆ๋‹ค. ์ด ์—ฐ์Šต์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์ข…๋ฅ˜์˜ ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•˜๋Š” ๊ณตํ†ต์ ์ธ ๋‹จ๊ณ„๋ฅผ ๋ณด์—ฌ์ฃผ๊ณ , ์ด์— ๋”ฐ๋ผ ์ž‘์€ ๋ฐ์ดํ„ฐ ์„ธํŠธ์™€ ๊ฐ„๋‹จํ•œ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. 1์ฐจ์ ์ธ ๋ชฉํ‘œ๋Š” Te...

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Tensorflow.js - 01. ์‹œ์ž‘ํ•˜๊ธฐ

[https://www.tensorflow.org/js/tutorials](https://www.tensorflow.org/js/tutorials)์„ ๊ฐœ์ธ์ ์ธ ํ•™์Šต์„ ์œ„ํ•ด ๋ฒˆ์—ญํ•œ ๊ธ€์ž…๋‹ˆ๋‹ค. ์ •ํ™•ํ•œ ๋ฒˆ์—ญ์„ ์œ„ํ•ด์„œ๊ฐ€ ์•„๋‹ˆ๋ผ, ๊ฐœ์ธ์ ์ธ ๊ณต๋ถ€๋ฅผ ์œ„ํ•ด์„œ ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์˜คํ•ด ใ„ดใ„ด ## ์‹œ์ž‘ํ•˜๊ธฐ Tensorflow.js๋Š” ๋ธŒ๋ผ์šฐ์ €์™€ Node.js์—์„œ ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋ธ...

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Tensorflow.js - 02. ์„ค์น˜ํ•˜๊ธฐ

[์ด์ „๊ธ€ ๋ณด๊ธฐ](/2019/12/20/tensorflowjs-01-get-started/) ## ์„ค์น˜ ### ๋ธŒ๋ผ์šฐ์ € ์„ค์น˜ Tensorflow.js๋ฅผ ์„ค์น˜ํ•˜๋Š” ๋ฐฉ๋ฒ•์€ ๋‘ ๊ฐ€์ง€๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. - Script tag๋ฅผ ์ด์šฉํ•˜๋Š”๋ฒ• - npm์„ ์ด์šฉํ•ด์„œ ์„ค์น˜ํ•˜๊ณ , Parcel, Webpack, Rollup ๊ฐ™์€ ๋นŒ๋“œ ํˆด์„ ์‚ฌ์šฉ ๋‰ด๋น„ ์›น ๊ฐœ๋ฐœ์ž๊ฑฐ๋‚˜, ์œ„ ์—์„œ...

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Step by Step machine learning - 05

## Training Models ### ์ •๊ทœ ๋ฐฉ์ •์‹์„ ํ™œ์šฉํ•œ ์„ ํ˜• ํšŒ๊ท€ ```python import numpy as np X = 2 * np.random.rand(100, 1) y = 4 + 3 * X + np.random.randn(100, 1) ``` ํ…Œ์ŠคํŠธ ์šฉ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ๋งŒ๋“ค์–ด ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค. ```python plt.plot(X, y, "...

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Step by Step machine learning - 03

Classification 2 ## ROC ์ปค๋ธŒ ROC ์ปค๋ธŒ๋Š” Binary Classification์—์„œ ๊ฐ€์žฅ ์ž˜ ์‚ฌ์šฉํ•˜๋Š” ๊ฒ€์ฆ๊ธฐ๋‹ค. ์™ผ์ชฝ ์œ„๋กœ ๊ทธ๋ž˜ํ”„๊ฐ€ ์ƒ์Šนํ•ด ์žˆ์„ ์ˆ˜๋ก (์šฐํ•˜๋‹จ ๋ฉด์ ์ด ๋„“์„ ์ˆ˜๋ก) ์ข‹์€ ๋ถ„๋ฅ˜๊ธฐ๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ```py # ROC ์ปค๋ธŒ๋Š” binary classifiers์—์„œ ์ž˜ ์‚ฌ์šฉํ•˜๋Š” ๊ฒ€์ฆ๊ธฐ๋‹ค. # ์™ผ์ชฝ ์œ„๋กœ ๊ทธ๋ž˜ํ”„๋กœ ์˜ฌ๋ผ๊ฐˆ ์ˆ˜...

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