AttributeError: 'Model' object has no attribute 'predict_classes' 的解決方案

時間 2021-01-12

標籤 mnist手寫數據集預測 predict_class predict 简体版

原文原文鏈接

使用keras訓練好了mnist數字識別模型後，準備拿來做預測。以下是預測代碼： #coding:utf-8 import cv2 import numpy as np from keras.models import load_model model = load_model('self.h5') image = cv2.imread('Pred

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1. AttributeError: ‘Model‘ object has no attribute ‘_get_distribution_strategy‘
2. AttributeError: 'Model' object has no attribute 'name'
3. 解決AttributeError AttributeError: 'NoneType' object has no attribute 'filename'
4. AttributeError: type object 'SQLAlchemy' has no attribute 'Model'
5. AttributeError: 'module' object has no attribute 'gfile'
6. 解決 AttributeError: 'ForeignKey' object has no attribute 're'
7. AttributeError: 'NoneType' object has no attribute 'is_relation'
8. AttributeError: ‘XGBClassifier‘ object has no attribute ‘_le‘
9. AttributeError: 'module' object has no attribute 'App'
10. AttributeError: '_csv.reader' object has no attribute 'next'

>>更多相關文章<<