apply_modifications(model) BUG, Type ERROR

[King-Of-Knights]

Hi, There! Thanks for your great job! It help my research in GAN. But I confront a problem when I try to visualization the convolution layer in the discriminator. Actually, I found this when I try to apply the example code in my discriminator

My discriminator structure is this:

`

• inputs = Input(shape=(32, 32, 3))
• x = GaussianNoise(0.03)(inputs)
• x = Conv2D(16, 3, border_mode='same', strides=(2, 2), init='glorot_normal')(x)
• x = LeakyReLU(alpha=0.2)(x)
• x = Dropout(0.5)(x)
• x = Conv2D(32, 3, border_mode='same', init='glorot_normal', strides=(1, 1))(x)
• x = BatchNormalization()(x)
• x = LeakyReLU(alpha=0.2)(x)
• x = Dropout(0.5)(x)
• x = Conv2D(64, 3, border_mode='same', init='glorot_normal', strides=(2, 2))(x)
• x = BatchNormalization()(x)
• x = LeakyReLU(alpha=0.2)(x)
• x = Dropout(0.5)(x)
• x = Conv2D(128, 3, border_mode='same', init='glorot_normal', strides=(1, 1))(x)
• x = BatchNormalization()(x)
• x = LeakyReLU(alpha=0.2)(x)
• x = Dropout(0.5)(x)
• x = Conv2D(256, 3, border_mode='same', init='glorot_normal', strides=(2, 2))(x)
• x = BatchNormalization()(x)
• x = Activation('relu')(x)
• x = Dropout(0.5)(x)
• x = Conv2D(512, 3, border_mode='same', init='glorot_normal', strides=(1, 1))(x)
• x = BatchNormalization()(x)
• x = LeakyReLU(alpha=0.2)(x)
• x = Dropout(0.5)(x)
• x = Flatten()(x)
• x = Dense(10, activation='softmax', name='predictions')(x)
• model = Model(inputs, x)

`

Then I use the code in the example: ` layer_idx = find_layer_idx(model, 'predictions') model.layers[layer_idx].activation = activations.linear model = apply_modifications(model) img = visualize_activation(model, layer_idx, filter_indices=[0])

`

Unluckily, I got: `

• Traceback (most recent call last):
• File "F:/keras-master/examples/CN!.py", line 51, in
• model = apply_modifications(model)
• File "H:\Anaconda3\lib\site-packages\vis\utils\utils.py", line 124, in apply_modifications
• return load_model(model_path)
• File "H:\Anaconda3\lib\site-packages\keras\models.py", line 246, in load_model
• model = model_from_config(model_config, custom_objects=custom_objects)
• File "H:\Anaconda3\lib\site-packages\keras\models.py", line 314, in model_from_config
• return layer_module.deserialize(config, custom_objects=custom_objects)
• File "H:\Anaconda3\lib\site-packages\keras\layers__init__.py", line 54, in deserialize
• printable_module_name='layer')
• File "H:\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 140, in deserialize_keras_object
• list(custom_objects.items())))
• File "H:\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2450, in from_config
• process_layer(layer_data)
• File "H:\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2419, in process_layer
• custom_objects=custom_objects)
• File "H:\Anaconda3\lib\site-packages\keras\layers__init__.py", line 54, in deserialize
• printable_module_name='layer')
• File "H:\Anaconda3\lib\site-packages\keras\utils\generic_utils.py", line 142, in deserialize_keras_object
• return cls.from_config(config['config'])
• File "H:\Anaconda3\lib\site-packages\keras\engine\topology.py", line 1242, in from_config
• return cls(**config)
• File "H:\Anaconda3\lib\site-packages\keras\layers\advanced_activations.py", line 38, in init
• self.alpha = K.cast_to_floatx(alpha)
• File "H:\Anaconda3\lib\site-packages\keras\backend\common.py", line 108, in cast_to_floatx
• return np.asarray(x, dtype=_FLOATX)
• File "H:\Anaconda3\lib\site-packages\numpy\core\numeric.py", line 531, in asarray
• return array(a, dtype, copy=False, order=order)
• TypeError: float() argument must be a string or a number, not 'dict'

`

Everything will be fine when I remove all the LeakyReLU layer. Maybe, all the advance activation will mess up, I hope you could notice that!

Again , Thanks for your great job!!