Keras: Unable to load model from .h5 file

[tejareddy-b]

# Unable to load model
Using TensorFlow backend.
Traceback (most recent call last):
  File "ocv.py", line 7, in <module>
    model = load_model('bottleneck_fc_model.h5')
  File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 230, in load_model
    raise ValueError('No model found in config file.')
ValueError: No model found in config file.

I did not find a clear answer in other issues.

[Dref360]

Did you saved with model.save or model.save_weights?
Also, try to provide a working example so that we can see if it's a bug.

[tejareddy-b]

Thank You,
I was saving 'weights' but trying to call a 'model'.

[sureddi-rajesh]

I am using a pre-trained model such as Alexnet, In this case also, ending up with the same error.

I was downloaded the alexnet_weights from here-->https://github.com/heuritech/convnets-keras
then I tried like this

from keras.models import load_model
base_model=load_model('alexnet_weights.h5')

I ended up with

ValueError: No model found in config file.

please help me to get rid out of it.

[gururao001]

It seems like your only using only the weights of the model. In that case you cant use load_model method. You have to set and define the architecture of your model and then use model.load_weights('alexnet_weights.h5'). Take a look at this for example https://stackoverflow.com/questions/35074549/how-to-load-a-model-from-an-hdf5-file-in-keras

[ajaysg-zz]

pretr_model=load_model('/home/ajay_sg/Desktop/arnekt_pdf/alaj_RPN_2230/models/vgg16_weights.h5')
it is throwing an error
ValueError: No model found in config file.

[qingfengmingyue]

use 'model.save()' will work

[mdt01]

model = load_model('F:/Yagnesh_Project/deep_learning_flask_integration/mode_files/three_clas.h5')
Traceback (most recent call last):

File "", line 1, in
model = load_model('F:/Yagnesh_Project/deep_learning_flask_integration/mode_files/three_clas.h5')

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\saving\save.py", line 184, in load_model
return hdf5_format.load_model_from_hdf5(filepath, custom_objects, compile)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\saving\hdf5_format.py", line 178, in load_model_from_hdf5
custom_objects=custom_objects)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\saving\model_config.py", line 55, in model_from_config
return deserialize(config, custom_objects=custom_objects)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\serialization.py", line 109, in deserialize
printable_module_name='layer')

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py", line 373, in deserialize_keras_object
list(custom_objects.items())))

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\sequential.py", line 398, in from_config
custom_objects=custom_objects)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\serialization.py", line 109, in deserialize
printable_module_name='layer')

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py", line 375, in deserialize_keras_object
return cls.from_config(cls_config)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 655, in from_config
return cls(**config)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\convolutional.py", line 599, in __init__
**kwargs)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\layers\convolutional.py", line 125, in __init__
**kwargs)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\tracking\base.py", line 456, in _method_wrapper
result = method(self, args, *kwargs)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 294, in __init__
generic_utils.validate_kwargs(kwargs, allowed_kwargs)

File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\keras\utils\generic_utils.py", line 792, in validate_kwargs
raise TypeError(error_message, kwarg)

TypeError: ('Keyword argument not understood:', 'groups')

[mdt01]

Can anyone guide me regarding above issue while loading the .h5 model.

I have used google colab to save this model. On google colab, I am able to load this model. But, it I download that model and trying to load that, it gives above erroe.

[Nakul24-1]

Can anyone guide me regarding above issue while loading the .h5 model.

I have used google colab to save this model. On google colab, I am able to load this model. But, it I download that model and trying to load that, it gives above erroe.

I have the same issue.
Did you find the solution?

[prateek1621]

Can anyone guide me regarding above issue while loading the .h5 model.

I have used google colab to save this model. On google colab, I am able to load this model. But, it I download that model and trying to load that, it gives above erroe.

I have the same issue.

Did you find the solution?

Even I have the same issue if you get the answer can you please let me also know

[Nakul24-1]

Can anyone guide me regarding above issue while loading the .h5 model.

I have used google colab to save this model. On google colab, I am able to load this model. But, it I download that model and trying to load that, it gives above erroe.

I have the same issue.
Did you find the solution?

Even I have the same issue if you get the answer can you please let me also know

The only solution I found was saving the model in google drive directly and using from there itself in Collab
Even for that I'm not 100 percent sure if it works in all cases.