How to fix"NameError: name 'load_model' is not defined"
What you are missing here is, load_model function is inside models class so you have to reference models class.
from keras import models
model = models.load_model('filename.h5')
In order to do it your way, you have to use import as following
from keras.models import load_model
PS: This next line might help you in future. If you are trying to load weights, use function:
model.load_weight('weights_file.h5')
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Karin
Updated on June 04, 2022Comments
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Karin over 1 year
I am reading the book"Deep Learning with Python" and I have come across a problem. I have used Pycharm to save models in anther file and when I tried to load it by the function 'load_model()', the system supports that 'NameError: name 'load_model' is not defined'. pycharm 2019.1.3 keras 2.2.4 tensorflow 1.13.0
from keras import models model = load_model('cats_and_dogs_small_2.h5')
Using TensorFlow backend. Traceback (most recent call last): File "F:/python program/visualizDemo/main.py", line 2, in model = load_model('cats_and_dogs_small_2.h5') NameError: name 'load_model' is not defined
Process finished with exit code 1
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Li-Pin Juan about 3 years@krain I think you probably missed the specification of
custom_object
like loss function, metric function, etc, when you save your model. I had the same issue before and the resolution is simply to add what I said in mymodel.save()
.
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