fhainzl / visualizing_understanding_cnn_implementation Goto Github PK

# Set other layers to zero
    new_array = np.zeros_like(self.array)
    new_array[0, self.f - 1] = self.array[0, self.f - 1]

    # Set other activations in same layer to zero
    max_index_flat = np.nanargmax(new_array)
    max_index = np.unravel_index(max_index_flat, new_array.shape)
    self.array = np.zeros_like(new_array)
    self.array[max_index] = new_array[max_index]

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-9-7b96cf8b918e> in <module>()
      2 
      3 
----> 4 get_activations(1, model)
      5 start = time.time()
      6 find_strongest_image(1)

~/workingdir/activations.py in get_activations(layer_num, base_model, mode, folder)
     29 
     30     # Create Model up to layer_num
---> 31     model = AlexNet(layer_num, base_model)
     32 
     33     # For timing

~/workingdir/alexnet.py in __init__(self, highest_layer_num, base_model)
    142         self.highest_layer_num = highest_layer_num
    143         self.base_model = base_model if base_model else alexnet_model()  # If no base_model, create alexnet_model
--> 144         self.model = self._sub_model() if highest_layer_num else self.base_model  # Use full network if no highest_layer
    145 
    146     def _sub_model(self):

~/workingdir/alexnet.py in _sub_model(self)
    146     def _sub_model(self):
    147         highest_layer_name = 'conv_{}'.format(self.highest_layer_num)
--> 148         highest_layer = self.base_model.get_layer(highest_layer_name)
    149         return Model(inputs=self.base_model.input,
    150                      outputs=highest_layer.output)

~/src/anaconda3/envs/fastai/lib/python3.6/site-packages/keras/engine/topology.py in get_layer(self, name, index)
   1889                 return layer
   1890 
-> 1891         raise ValueError('No such layer: ' + name)
   1892 
   1893     @property

ValueError: No such layer: conv_1