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์ปดํ“จํ„ฐ๊ณผํ•™ (CS)/AI 2020. 2. 29. 19:20

์ธ๊ณต์‹ ๊ฒฝ๋ง ์„ค๊ณ„ ์‹œ ๊ณ ๋ ค์‚ฌํ•ญ Network topology ๋„คํŠธ์›Œํฌ์˜ ๋ชจ์–‘ (feed forward, feed backward) Activation function ์ถœ๋ ฅ์˜ ํ˜•ํƒœ Objectives ๋ถ„๋ฅ˜? ํšŒ๊ท€? Loss function, Error๋กœ ๋‚˜ํƒ€๋‚ผ ์ˆ˜ ์žˆ์Œ Optimizers weight update Generalization Overfitting ๋ฐฉ์ง€ 2. activation function ์ถœ๋ ฅ์˜ ํ˜•ํƒœ ๊ฒฐ์ • 1. one-hot vector ์—ฌ๋Ÿฌ ๊ฐ’ ์ค‘ ํ•˜๋‚˜์˜ ๊ฐ’๋งŒ ์ถœ๋ ฅ ex_ ์ˆซ์ž ์‹๋ณ„ 2. softmax function ํ•ด๋‹น ์ถœ๋ ฅ์ด ๋‚˜์˜ฌ ํ™•๋ฅ ๋กœ ํ‘œํ˜„ 3. objective function ๊ธฐํƒ€ ๋ชฉ์ ํ•จ์ˆ˜ Mean absolute error / mae Mean absolute percentag..