[ANN] 퍼셉트론 연산
퍼셉트론 연산 import numpy as np grade = 10 test = 20 # 1x2 input0 = np.array([grade, test]) # 2x2 w1 = np.array( [[0.5, 0.12], [0.3, 0.4]]) # 2x1 w2 = np.array([[0.4], [0.5]]) result_0 = np.dot(input0, w1) result_1 = np.dot(result_0, w2) print('result_0:', result_0) print('result_1:', result_1) result_0: [11. 9.2] result_1: [9.] step 함수 (기본 활성화 함수) def step(h): return np.array(h >= 0, dtype = "int") ..
2022. 11. 10.
