IISPL
Intelligent Information & Signal Procesing Lab.
Dept. of Computer Engineering, Hanbat National University, South Korea
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Python
제목:
시각화
1685 김윤중
시각화 강의자료
시각화.pdf
matplotlib
colors
colors.html
axes[0].plot(y,'-o',color='aqua',label='close')
pyplot-scatter-plot-marker-size
twin graph
#학습과정의 loss화 accuracy의 변화 추이 분석
import matplotlib.pyplot as plt
fig, loss_ax = plt.subplots()
acc_ax = loss_ax.twinx()
loss_ax.plot(hist.history['loss'], 'y', label='train loss')
loss_ax.plot(hist.history['val_loss'], 'r', label='val loss')
loss_ax.set_xlabel('epoch'); loss_ax.set_ylabel('loss')
loss_ax.legend(loc='upper left')
acc_ax.plot(hist.history['accuracy'], 'b', label='train acc')
acc_ax.plot(hist.history['val_accuracy'], 'g', label='val acc')
acc_ax.set_ylabel('accuracy')
cc_ax.legend(loc='upper right')
plt.show()