Question

这是我从tensorflow网站上的tensorflow教程获得的代码。中途我得到了这个错误。 ii成功地训练了模型。但是当测试图像通过时，我会出错。

from tensorflow import keras
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
fashion_mnist= keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()
class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
               'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']
train_images=train_images/255.0
test_images=train_images/255.0
model=keras.Sequential([
    keras.layers.Flatten(input_shape=(28,28)),
    keras.layers.Dense(128,activation='relu'),
    keras.layers.Dense(10)])
model.compile(optimizer='adam',
              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),
              metrics=['accuracy'])
model.fit(train_images,train_labels,epochs=5)
test_loss, test_acc = model.evaluate(test_images,  test_labels, verbose=2)
print('\nTest accuracy:', test_acc)```

this code gives the following error:

ValueError: Input arrays should have the same number of samples as target arrays. Found 60000 input samples and 10000 target samples.

Answer 1

因为您在规范化时输入了错字：

test_images=train_images/255.0

代替：

test_images = test_images / 255.0

Answer 2

test_images=train_images/255.0

应该是：

test_images=test_images/255.0

否则，您将train_images除以255，然后再将其除以255

找到60000个输入样本和10000个目标样本。如何解决此错误？

2 个答案: