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View Code? Open in Web Editor NEWMachine learning experiment to perform gender classification from raw audio.
Machine learning experiment to perform gender classification from raw audio.
'Loading and Visualisation Pretrained model"
model_path= '../models/n_seconds/siamese__nseconds_3.0__filters_32__embed_64__drop_0.05__r_0.hdf5'
downsampling = 4
siamese = load_model(model_path)
TypeError Traceback (most recent call last)
in ()
----> 1 siamese = load_model(model_path)
/opt/conda/lib/python3.6/site-packages/keras/models.py in load_model(filepath, custom_objects, compile)
237 raise ValueError('No model found in config file.')
238 model_config = json.loads(model_config.decode('utf-8'))
--> 239 model = model_from_config(model_config, custom_objects=custom_objects)
240
241 # set weights
/opt/conda/lib/python3.6/site-packages/keras/models.py in model_from_config(config, custom_objects)
311 'Maybe you meant to use '
312 'Sequential.from_config(config)
?')
--> 313 return layer_module.deserialize(config, custom_objects=custom_objects)
314
315
/opt/conda/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
52 module_objects=globs,
53 custom_objects=custom_objects,
---> 54 printable_module_name='layer')
/opt/conda/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
137 return cls.from_config(config['config'],
138 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
141 return cls.from_config(config['config'])
/opt/conda/lib/python3.6/site-packages/keras/engine/topology.py in from_config(cls, config, custom_objects)
2485 # First, we create all layers and enqueue nodes to be processed
2486 for layer_data in config['layers']:
-> 2487 process_layer(layer_data)
2488 # Then we process nodes in order of layer depth.
2489 # Nodes that cannot yet be processed (if the inbound node
/opt/conda/lib/python3.6/site-packages/keras/engine/topology.py in process_layer(layer_data)
2471
2472 layer = deserialize_layer(layer_data,
-> 2473 custom_objects=custom_objects)
2474 created_layers[layer_name] = layer
2475
/opt/conda/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
52 module_objects=globs,
53 custom_objects=custom_objects,
---> 54 printable_module_name='layer')
/opt/conda/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
137 return cls.from_config(config['config'],
138 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
141 return cls.from_config(config['config'])
/opt/conda/lib/python3.6/site-packages/keras/models.py in from_config(cls, config, custom_objects)
1211 model = cls()
1212 for conf in config:
-> 1213 layer = layer_module.deserialize(conf, custom_objects=custom_objects)
1214 model.add(layer)
1215 return model
/opt/conda/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
52 module_objects=globs,
53 custom_objects=custom_objects,
---> 54 printable_module_name='layer')
/opt/conda/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
--> 141 return cls.from_config(config['config'])
142 else:
143 # Then cls
may be a function returning a class.
/opt/conda/lib/python3.6/site-packages/keras/engine/topology.py in from_config(cls, config)
1250 A layer instance.
1251 """
-> 1252 return cls(**config)
1253
1254 def count_params(self):
/opt/conda/lib/python3.6/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
85 warnings.warn('Update your ' + object_name + 86 '
call to the Keras 2 API: ' + signature, stacklevel=2)
---> 87 return func(*args, **kwargs)
88 wrapper._original_function = func
89 return wrapper
/opt/conda/lib/python3.6/site-packages/keras/layers/convolutional.py in init(self, filters, kernel_size, strides, padding, dilation_rate, activation, use_bias, kernel_initializer, bias_initializer, kernel_regularizer, bias_regularizer, activity_regularizer, kernel_constraint, bias_constraint, **kwargs)
331 kernel_constraint=kernel_constraint,
332 bias_constraint=bias_constraint,
--> 333 **kwargs)
334 self.input_spec = InputSpec(ndim=3)
335
TypeError: init() got multiple values for keyword argument 'data_format'
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