错误如图所示，只弹出一个Error，但没错误信息，请教大佬该如何解决。
我的keras版本为2.8.0，训练模型的代码如下：
- from keras.utils import np_utils
- import numpy as np
- np.random.seed(10)
- from keras.datasets import mnist
- (x_train_image, y_train_label), \
- (x_test_image, y_test_label) = mnist.load_data()
- x_Train = x_train_image.reshape(60000,784).astype('float32')
- x_Test = x_test_image.reshape(10000,784).astype('float32')
- x_Train_normalize = x_Train/255
- x_Test_normalize = x_Test/255
- y_Train_OneHot = np_utils.to_categorical(y_train_label)
- y_Test_OneHot = np_utils.to_categorical(y_test_label)
- from keras.models import Sequential # 建立线性堆叠模型
- from keras.layers import Dense
- model = Sequential()
- model.add(Dense(units=256,
- input_dim=784,
- kernel_initializer='normal',
- activation='relu'))
- model.add(Dense(units=10,
- kernel_initializer='normal',
- activation='softmax'))
- print(model.summary())
- model.compile(loss='categorical_crossentropy',
- optimizer='adam', metrics=['accuracy'])
-
- train_history = model.fit(x=x_Train_normalize,
- y=y_Train_OneHot,validation_split=0.2,
- epochs=10,batch_size=200,verbose=2)
- model.save("C:/Users/Administrator/Desktop/model_keras.h5",save_format='keras')
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SeanOYZY 提问时间: 2023-08-06 09:26:15 / 已解决
鹿森 回答时间: 2023-08-06 10:26:19
lumos-ccc 回答时间: 2023-08-06 10:49:56已解决，keras版本应