ValueError ResNet Keras

我试图使用Keras ResNet 50应用程序模型解决我的问题：

#Tensorflow and tf.keras
import tensorflow as tf
from tensorflow import keras
#tf.enable_eager_execution()

#Helper libraries
import numpy as np
import matplotlib.pyplot as plt

import Muenzbetragserkennung_input_ResNet

#print(tf.__version__)

#Dataset
#Training and test data
(train_images, train_labels), (test_images, test_labels) = 
Muenzbetragserkennung_input_ResNet.read_input_shuffle()

batch_size, height, width, channels = train_images.shape
train_images = train_images / 255.0
test_images = test_images / 255.0
print(train_images.shape)

#Build the model
model = tf.keras.applications.resnet50.ResNet50(include_top=False, 
weights=None, input_tensor=None, input_shape=(height, width, channels), 
pooling='max')

model.compile(optimizer=tf.train.AdamOptimizer(),
          loss='mean_squared_error',
          metrics=['accuracy'])

#model.summary()

#Train
model.fit(train_images, train_labels, epochs=10)
#model.save_weights('models/muenzen.h5')

#Evaluate
loss, accuracy = model.evaluate(test_images, test_labels)
print('Accuracy', accuracy)

#Prediction
prediction = model.predict(test_images[0:1])
print(prediction)

但得到以下 Ouput /错误：

形状火车图像：（3865,240,320,3）形状火车标签：（3865，）形状测试图像：（967,240,320,3）形状测试标签：（967，）（3865,240,320， 3）回溯（最近一次调用最后一次）：文件“C：/Users/Christian/PycharmProjects/MuenzbetragserkennungResNet/Muenzbetragserkennung_ResNet.py”，第34行，在model.fit（train_images，train_labels，epochs = 10）文件“C：\ Users \ Christian \ AppData \ Roaming \ Python \ Python36 \ site-packages \ tensorflow \ python \ keras \ engine \ training.py“，第1278行，in fit validation_split = validation_split）文件”C：\ Users \ Christian \ AppData \ Roaming \ Python \ Python36 \ site-packages \ tensorflow \ python \ keras \ engine \ training.py“，第917行，_standardize_user_data exception_prefix ='target'）文件”C：\ Users \ Christian \ AppData \ Roaming \ Python \ Python36 \ site -packages \ tensorflow \ python \ keras \ engine \ training_utils.py“，第191行，在standardize_input_data'但是得到了形状为'str（data_shape）的数组）ValueError：检查目标时出错：期望global_max_pooling2d有形状（2048，）bu得到形状的数组（1，）处理完成退出代码1

我已经尝试过不同的池版本，但只有其他的ValueErrors . 模型应输出一个值（图像中的硬币值） .

预先感谢您的帮助 .