优化可视化配色

predict.py

@@ -25,7 +25,7 @@ model.summary()
 model.evaluate(test_images.reshape(-1, 28, 28, 1), test_labels)
 
 # 可视化预测效果
-show_num = 300
+show_num = 170
 testShow = test_labels[:show_num]
 
 pred = model.predict(test_images.reshape(-1, 28, 28, 1))
@@ -36,7 +36,7 @@ for item in pred:
 plt.figure()
 plt.title('Conv Predict')
 plt.ylabel('number')
-plt.plot(range(testShow.size), predict[:show_num], label='predict')
+plt.plot(range(testShow.size), predict[:show_num], marker='^', color='coral',label='predict')
-plt.plot(range(testShow.size), testShow, label='result')
+plt.plot(range(testShow.size), testShow,  marker='o',color='deepskyblue',label='result')
 plt.legend()
 plt.show()