python中使用matplotlib画神经网络损失函数图像
1.代码from matplotlib import pyplot as pltimport numpy as npw = np.linspace(-1.15,1.15,10000)Loss = (w**1 - 1)**2plt.plot(w, Loss, label = "2 layers NN")plt.xlabel("w")plt.ylabel("Loss")plt.legend(loc="
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1.代码
from matplotlib import pyplot as plt
import numpy as np
w = np.linspace(-1.15,1.15,10000)
Loss = (w**1 - 1)**2
plt.plot(w, Loss, label = "2 layers NN")
plt.xlabel("w")
plt.ylabel("Loss")
plt.legend(loc="best")
plt.text(-0.5,3,r"$Loss=(w^1 - 1)^2$",fontsize=20,color="red")
plt.show()
2.图像结果
补充教程:
https://www.runoob.com/w3cnote/matplotlib-tutorial.html
import numpy as np
import matplotlib.pyplot as plt
X = np.linspace(-np.pi, np.pi, 256, endpoint=True)
C,S = np.cos(X), np.sin(X)
# color为线条颜色,label为图例
plt.plot(X,C, color="blue",label="cosine")
plt.plot(X,S, color="red", label="sine")
plt.legend(loc = "upper left") # 增加图例
plt.show()
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