ValueError:x and y must have same first dimension, but have shapes (3000,) and (10,)怎么办？

Question

def result_show(history):
acc=history.history["accuracy"]#训练集的准确率
val_acc=history.history["val_accuracy"]#测试集的准确率
loss=history.history["loss"]#训练集的损失值
val_loss=history.history["val_loss"]#测试集的损失值

epochs_range = range(EPOCHS)

plt.figure(figsize=(15,5))
plt.subplot(1,2,1)
plt.plot(epochs_range,acc,label="Training Accuracy")
plt.plot(epochs_range,val_acc, label="Validation Accuracy")
plt.legend(loc="lower right")
plt.title("training and validation Accuracy")


plt.subplot(1, 2, 2)
plt.plot(epochs_range,loss, label="Training Loss")
plt.plot(epochs_range,val_loss, label="Validation Loss")
plt.legend(loc="upper right")
plt.title("training and validation Loss")

plt.show()

def result_show(history):
acc=history.history["accuracy"]#训练集的准确率
val_acc=history.history["val_accuracy"]#测试集的准确率
loss=history.history["loss"]#训练集的损失值
val_loss=history.history["val_loss"]#测试集的损失值

epochs_range = range(EPOCHS)

plt.figure(figsize=(15,5))
plt.subplot(1,2,1)
plt.plot(epochs_range,acc,label="Training Accuracy")
plt.plot(epochs_range,val_acc, label="Validation Accuracy")
plt.legend(loc="lower right")
plt.title("training and validation Accuracy")


plt.subplot(1, 2, 2)
plt.plot(epochs_range,loss, label="Training Loss")
plt.plot(epochs_range,val_loss, label="Validation Loss")
plt.legend(loc="upper right")
plt.title("training and validation Loss")

plt.show()

Answer 1

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