CNN-Colab-Error.log

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-183-74b2cf4f5e86> in <module>()
----> 1 model = load_model('muteTV.h5')

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/saving.py in load_model(filepath, custom_objects, compile)
    227       raise ValueError('No model found in config file.')
    228     model_config = json.loads(model_config.decode('utf-8'))
--> 229     model = model_from_config(model_config, custom_objects=custom_objects)
    230 
    231     # set weights

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/saving.py in model_from_config(config, custom_objects)
    304                     '`Sequential.from_config(config)`?')
    305   from tensorflow.python.keras.layers import deserialize  # pylint: disable=g-import-not-at-top
--> 306   return deserialize(config, custom_objects=custom_objects)
    307 
    308 

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/layers/serialization.py in deserialize(config, custom_objects)
     62       module_objects=globs,
     63       custom_objects=custom_objects,
---> 64       printable_module_name='layer')

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
    171             custom_objects=dict(
    172                 list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 173                 list(custom_objects.items())))
    174       with CustomObjectScope(custom_objects):
    175         return cls.from_config(config['config'])

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/network.py in from_config(cls, config, custom_objects)
   1207     # First, we create all layers and enqueue nodes to be processed
   1208     for layer_data in config['layers']:
-> 1209       process_layer(layer_data)
   1210     # Then we process nodes in order of layer depth.
   1211     # Nodes that cannot yet be processed (if the inbound node

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/network.py in process_layer(layer_data)
   1193       from tensorflow.python.keras.layers import deserialize as deserialize_layer  # pylint: disable=g-import-not-at-top
   1194 
-> 1195       layer = deserialize_layer(layer_data, custom_objects=custom_objects)
   1196       created_layers[layer_name] = layer
   1197 

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/layers/serialization.py in deserialize(config, custom_objects)
     62       module_objects=globs,
     63       custom_objects=custom_objects,
---> 64       printable_module_name='layer')

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
    173                 list(custom_objects.items())))
    174       with CustomObjectScope(custom_objects):
--> 175         return cls.from_config(config['config'])
    176     else:
    177       # Then `cls` may be a function returning a class.

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/base_layer.py in from_config(cls, config)
   1551         A layer instance.
   1552     """
-> 1553     return cls(**config)
   1554 
   1555 

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/layers/advanced_activations.py in __init__(self, max_value, **kwargs)
    300     super(ReLU, self).__init__(**kwargs)
    301     self.support_masking = True
--> 302     self.max_value = K.cast_to_floatx(max_value)
    303     if self.max_value < 0.:
    304       raise ValueError('max_value of Relu layer '

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/backend.py in cast_to_floatx(x)
    214   ```
    215   """
--> 216   return np.asarray(x, dtype=_FLOATX)
    217 
    218 

/usr/local/lib/python3.6/dist-packages/numpy/core/numeric.py in asarray(a, dtype, order)
    490 
    491     """
--> 492     return array(a, dtype, copy=False, order=order)
    493 
    494 

TypeError: float() argument must be a string or a number, not 'dict'