첨부파일 딥러닝입문.1209.py 파일 다운로드 # 합성곱 import numpy as np w = np.array([2, 1, 5, 3]) x = np.array([2, 8, 3, 7, 1, 2, 0, 4, 5]) w_r = np.flip(w) print(w_r) w[0:4:2] for i in range(6): print(np.dot(x[i:i+4], w_r)) from scipy.signal import convolve convolve(x, w, mode='valid') from scipy.signal import correlate correlate(x, w, mode='valid') correlate(x, w, mode='full') correlate(x, w, mode='same') x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) w = np.array([[2, 0], [0, 0]]) from scipy.signal import corr...
원문 링크 : 20221209 빅데이터&AI(머신러닝,딥러닝)인공지능