7월 25일 파이썬/머신러닝

import numpy as np
import matplotlib.pyplot as plt
 
from matplotlib.image import  imread
 
def abcd():
    img = imread("./abc.png")
 
    plt.imshow(img)
    plt.show()
 
 
def abc():
    A=np.array([1, 3])
    B=np.array([3, 2])
 
    data=np.arange(10)
    plt.plot(data)
    plt.show()
 
def abc1():
    x = np.arange(0, 6, 0.1)
 
    y = np.sin(x)
 
    plt.plot(x, y)
    plt.show()
 
def flatten():
    A = np.array([[51, 55], [14, 19], [0, 4]])
 
    D = A.flatten()
 
    print(D)
    print(D[np.array([0, 2, 4])])
    print(D > 15)
    print(D[D > 15])
 
def abc2():
    x = np.arange(0, 6, 0.1)  # 0에서 6까지 0.1 간격으로 생성
 
    y1 = np.sin(x)
    y2 = np.cos(x)
 
    plt.plot(x, y1, label="sin")
    plt.plot(x, y2, linestyle="--", label="cos")  # cos함수는 점선으로 그리기
 
    plt.xlabel("x")  # x축 이름
    plt.ylabel("y")  # y축 이름
    plt.title("sin & cos")  # 제목
    plt.legend()
    plt.show()
 
 
if __name__ == "__main__":
    abc()
    abc1()
    flatten()
    abc2()
    abcd()
 
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import numpy as np
 
def AND(x1, x2):
    x = np.array([x1, x2])
 
    w = np.array([0.5, 0.5])
    b = -0.7
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1
 
def NAND(x1, x2):
    x = np.array([x1, x2])
 
    w = np.array([-0.5, -0.5])
    b = 0.7
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1
 
def OR(x1, x2):
    x = np.array([x1, x2])
 
    w = np.array([0.5, 0.5])
    b = -0.2
    tmp = np.sum(w * x) + b
    if tmp <= 0:
        return 0
    else:
        return 1
 
def XOR(x1, x2):
    s1 = NAND(x1, x2)
 
    s2 = OR(x1, x2)
    y = AND(s1, s2)
 
    return y
 
if __name__ == "__main__":
    for xs in [(0, 0), (1, 0), (0, 1), (1, 1)]:
        y = XOR(xs[0], xs[1])
        print(str(xs) + " -> " + str(y))

 

 

import numpy as np
import matplotlib.pylab as plt
 
def step_function(x):
    return np.array(x>0, dtype=np)
 
 
 
X = np.arange(-5.0, 5.0, 0.1)
Y = step_function(X)
plt.plot(X, Y)
plt.ylim(-0.1, 1.1)
plt.show()