【发布时间】:2022-08-06 10:04:53
【问题描述】:
model.compile(optimizer=\'adam\',loss=\'categorical_crossentropy\', metrics=[\'accuracy\'])
history = model.fit(train_data,epochs = 1,validation_data = test_data,verbose=1, callbacks =[earlystopping, csv_logger])
9/87606 [..............................] - ETA: 20:44 - loss: 0.2311 - accuracy: 0.8889
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
Cleanup called...
-
请澄清您的具体问题或提供其他详细信息以准确突出您的需求。正如它目前所写的那样,很难准确地说出你在问什么。
标签: tensorflow keras deep-learning conv-neural-network kaggle