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2025-11-03 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article "Keras load model error how to solve" the knowledge of most people do not understand, so the editor summarized the following content, detailed, clear steps, with a certain reference value, I hope you can get something after reading this article, let's take a look at this "Keras load model error how to solve" article.
Question:
Python+Flask repeatedly calls model to report an error
ValueError: Tensor Tensor ("dense_2/Softmax:0"...) Is not an element of this graph.
Reason:
unknown
Solution:
After initializing the loading model, casually generate a vector for model to execute the predict function once
From keras.models import load_model#... model = load_modle ('xxx.hdf5') model.predict (...)
Add: from models import * error, cannot find the solution to models
Solution from .models import *
Add a dot before models to refer to the models in the current directory
The above is about "Keras loading model error how to solve" this article, I believe we all have a certain understanding, I hope the editor to share the content to help you, if you want to know more related knowledge, please pay attention to the industry information channel.
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