如何在keras Conv2D(2d卷积层)kernel_initializer配置参数中进行更改?

时间:2019-01-31 11:20:32

标签: python keras deep-learning

我试图为ResNet建立一个模型模拟器,只是为了了解层中的每个细节,但是当我对conv2D层使用 get_config 时,中的比例,模式和分布kernel_initializer 是为默认congiguration不同。我怎样才能改变这个参数?关于resnet Conv2D,请参见第14-18行,其次是常规的Conv2D

1  #resnet Conv2D   
2  resnet_model.layers[2].get_weights()
3
4  {'name': 'conv1',
5  'trainable': True,
6  'filters': 64,
7  'kernel_size': (7, 7),
8  'strides': (2, 2),
9  'padding': 'valid',
10 'data_format': 'channels_last',
11 'dilation_rate': (1, 1),
12 'activation': 'linear',
13 'use_bias': True,
14 'kernel_initializer': {'class_name': 'VarianceScaling',
15  'config': {'scale': 2.0, 
16   'mode': 'fan_in',
17   'distribution': 'normal',
18   'seed': None}},
19 'bias_initializer': {'class_name': 'Zeros', 'config': {}},
20 'kernel_regularizer': None,
21 'bias_regularizer': None,
22 'activity_regularizer': None,
23 'kernel_constraint': None,
24 'bias_constraint': None}


1  #normal Conv2D   
2  model.layers[2].get_weights()
3
4  {'name': 'conv1',
5  'trainable': True,
6  'filters': 64,
7  'kernel_size': (7, 7),
8  'strides': (2, 2),
9  'padding': 'valid',
10 'data_format': 'channels_last',
11 'dilation_rate': (1, 1),
12 'activation': 'linear',
13 'use_bias': True,
14 'kernel_initializer': {'class_name': 'VarianceScaling',
15  'config': {'scale': 1.0, 
16   'mode': 'fan_avg',
17   'distribution': 'uniform,',
18   'seed': None}},
19 'bias_initializer': {'class_name': 'Zeros', 'config': {}},
20 'kernel_regularizer': None,
21 'bias_regularizer': None,
22 'activity_regularizer': None,
23 'kernel_constraint': None,
24 'bias_constraint': None}

2 个答案:

答案 0 :(得分:1)

from keras.initializers import VarianceScaling

convLayer = Conv2D(filters, kernel_size, ..., 
                   kernel_initializer = VarianceScaling(scale=2.0, 
                                                        mode='fan_in', 
                                                        distribution='normal', 
                                                        seed=None), 
                   ...)

答案 1 :(得分:0)

您可能想看一看初始化器文档:https://keras.io/initializers/

要更改此参数,需要通过设置kernel_initializer class_name 参数来选择一个初始化程序。然后,您可以通过 config 字段将参数传递给该初始化程序。