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import keras


    

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from keras.models import Model, Sequential
import BoschNNModel1


    

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bae = keras.models.load_model('1BAE_model_cols2-4.h5', custom_objects={"BoschNNInput":BoschNNModel1.BoschNNInput})


    

    




---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-8-64af6bb9693a> in <module>()
----> 1 bae = keras.models.load_model('1BAE_model_cols2-4.h5', custom_objects={"BoschNNInput":BoschNNModel1.BoschNNInput})

d:\Anaconda\envs\Deep2\lib\site-packages\keras\models.pyc in load_model(filepath, custom_objects)
    230         raise ValueError('No model found in config file.')
    231     model_config = json.loads(model_config.decode('utf-8'))
--> 232     model = model_from_config(model_config, custom_objects=custom_objects)
    233 
    234     # set weights

d:\Anaconda\envs\Deep2\lib\site-packages\keras\models.pyc in model_from_config(config, custom_objects)
    291                         'Maybe you meant to use '
    292                         '`Sequential.from_config(config)`?')
--> 293     return layer_module.deserialize(config, custom_objects=custom_objects)
    294 
    295 

d:\Anaconda\envs\Deep2\lib\site-packages\keras\layers\__init__.pyc in deserialize(config, custom_objects)
     44                                     module_objects=globs,
     45                                     custom_objects=custom_objects,
---> 46                                     printable_module_name='layer')

d:\Anaconda\envs\Deep2\lib\site-packages\keras\utils\generic_utils.pyc in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
    139                                        custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
    140                                                            list(custom_objects.items())))
--> 141             return cls.from_config(config['config'])
    142         else:
    143             # Then `cls` may be a function returning a class.

d:\Anaconda\envs\Deep2\lib\site-packages\keras\models.pyc in from_config(cls, config)
   1187         model = cls()
   1188         for conf in config:
-> 1189             layer = layer_module.deserialize(conf)
   1190             model.add(layer)
   1191         return model

d:\Anaconda\envs\Deep2\lib\site-packages\keras\layers\__init__.pyc in deserialize(config, custom_objects)
     44                                     module_objects=globs,
     45                                     custom_objects=custom_objects,
---> 46                                     printable_module_name='layer')

d:\Anaconda\envs\Deep2\lib\site-packages\keras\utils\generic_utils.pyc in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
    131             if cls is None:
    132                 raise ValueError('Unknown ' + printable_module_name +
--> 133                                  ': ' + class_name)
    134         if hasattr(cls, 'from_config'):
    135             arg_spec = inspect.getargspec(cls.from_config)

ValueError: Unknown layer: BoschNNInput

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from keras.models import Model, Sequential


    

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model = Sequential()

model.load_weights('BAE_model_cols2-4.h5')


    

    




---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-31-5e1791067c02> in <module>()
      1 model = Sequential()
----> 2 model.load_weights('BAE_model_cols2-4.h5')

d:\Anaconda\envs\Deep2\lib\site-packages\keras\models.pyc in load_weights(self, filepath, by_name)
    697 
    698         # Legacy support
--> 699         if legacy_models.needs_legacy_support(self):
    700             layers = legacy_models.legacy_sequential_layers(self)
    701         else:

d:\Anaconda\envs\Deep2\lib\site-packages\keras\legacy\models.pyc in needs_legacy_support(model)
      3 
      4 def needs_legacy_support(model):
----> 5     return isinstance(model.layers[0], Merge)
      6 
      7 

IndexError: list index out of range

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Object `model.load_weights` not found.

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