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밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
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밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초

by Joel Grus, Hangyeol Kim, Seongju Ha, Eunjung Park
May 2022
Beginner to intermediate
448 pages
13h 7m
Korean
Insight
Content preview from 밑바닥부터 시작하는 데이터 과학 데이터 분석을 위한 파이썬 프로그래밍과 수학·통계 기초
from Scratch
275
󽴜󽴔󻫗󻞫󽴞󽴔󽴔󽴔󺞳󻞫󽴔󼥏󻪃󽴔󻇃󺋿
elif x > 100: return 1
em2x = math.exp(-2 * x)
return (1 - em2x) / (1 + em2x)
class Tanh(Layer):
def forward(self, input: Tensor) -> Tensor:
#
역방향에서
필요한
tanh
결괏값을
저장
self.tanh = tensor
_
apply(tanh, input)
return self.tanh
def backward(self, gradient: Tensor) -> Tensor:
return tensor
_
combine(
lambda tanh, grad: (1 - tanh ** 2) * grad,
self.tanh,
gradient)
큰 모델의 경우,
Relu
또한 자주 사용한다.
Relu
는 음수인 입력값에 대해서는
0
을 반환하지만 양수인 입력값에 대해서는 입력값을 그대로 반환한다.
class Relu(Layer):
def forward(self, input: Tensor) -> Tensor:
self.input = input
return tensor
_
apply(lambda x: max(x, 0), input)
def backward(self, gradient: Tensor) ...
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Publisher Resources

ISBN: 9788966262571