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ValueError:找不到匹配的具体函数来调用从 SavedModel 加载的函数

我正在尝试建立一个作物识别模型,但不断收到此错误:

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import tensorflow as tf\nimport tensorflow_hub as hub\n \n#Read crop details\nimport pandas as pd\ncrop_details_csv =  pd.read_excel('/content/drive/MyDrive/Crop Identification/Crop_details.xlsx')\ncrop_details_csv.head()\n \n#Get imamges filepaths\nfilename  = ['drive/MyDrive/Crop Identification/Train2/' + fname for fname in crop_details_csv['path']]\n \nimport numpy as np\nlabels = crop_details_csv['croplabel']\nlabels=np.array(labels)\n#if len(labels)==len(filename):\n  #print('Yes')\n#else:\n  #print('NO')  \nunique_labels = np.unique(labels)  \nunique_labels\n \nboolean_labels = [label == unique_labels for label in labels]#turn labels to numbers\n \n#Split our data and creating Validation set\nx = filename\ny = boolean_labels\n \n#Get validation set\nfrom sklearn.model_selection import train_test_split\nx_train,x_val,y_train,y_val=train_test_split(x,y,test_size=0.2,random_state=42)\n \n#Turn Images to tensors\nimage_size=224\n \ndef preprocess_image(image_path,image_size=image_size):\n  #read an …
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python classification machine-learning keras tensorflow

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