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How to solve the error of loading model in Keras

2025-02-28 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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