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- 시각화 강의자료
- matplotlib
- 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()
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