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本文整理汇总了Python中keras.layers.SpatialDropout3D方法的典型用法代码示例。如果您正苦于以下问题：Python layers.SpatialDropout3D方法的具体用法？Python layers.SpatialDropout3D怎么用？Python layers.SpatialDropout3D使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在模块keras.layers的用法示例。 在下文中一共展示了layers.SpatialDropout3D方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。 示例1: keras_dropout# 需要导入模块: from keras import layers [as 别名]# 或者: from keras.layers import SpatialDropout3D [as 别名]def keras_dropout(layer, rate): """ Keras dropout layer. """ from keras import layers input_dim = len(layer.input.shape) if input_dim == 2: return layers.SpatialDropout1D(rate) elif input_dim == 3: return layers.SpatialDropout2D(rate) elif input_dim == 4: return layers.SpatialDropout3D(rate) else: return layers.Dropout(rate)
开发者ID:microsoft，项目名称:nni，代码行数:18，代码来源:layers.py
示例2: test_dropout# 需要导入模块: from keras import layers [as 别名]# 或者: from keras.layers import SpatialDropout3D [as 别名]def test_dropout(): layer_test(layers.Dropout, kwargs={'rate': 0.5}, input_shape=(3, 2)) layer_test(layers.Dropout, kwargs={'rate': 0.5, 'noise_shape': [3, 1]}, input_shape=(3, 2)) layer_test(layers.Dropout, kwargs={'rate': 0.5, 'noise_shape': [None, 1]}, input_shape=(3, 2)) layer_test(layers.SpatialDropout1D, kwargs={'rate': 0.5}, input_shape=(2, 3, 4)) for data_format in ['channels_last', 'channels_first']: for shape in [(4, 5), (4, 5, 6)]: if data_format == 'channels_last': input_shape = (2,) + shape + (3,) else: input_shape = (2, 3) + shape layer_test(layers.SpatialDropout2D if len(shape) == 2 else layers.SpatialDropout3D, kwargs={'rate': 0.5, 'data_format': data_format}, input_shape=input_shape) # Test invalid use cases with pytest.raises(ValueError): layer_test(layers.SpatialDropout2D if len(shape) == 2 else layers.SpatialDropout3D, kwargs={'rate': 0.5, 'data_format': 'channels_middle'}, input_shape=input_shape)
开发者ID:hello-sea，项目名称:DeepLearning_Wavelet-LSTM，代码行数:36，代码来源:core_test.py
示例3: create_context_module# 需要导入模块: from keras import layers [as 别名]# 或者: from keras.layers import SpatialDropout3D [as 别名]def create_context_module(input_layer, n_level_filters, dropout_rate=0.3, data_format="channels_first"): convolution1 = create_convolution_block(input_layer=input_layer, n_filters=n_level_filters) dropout = SpatialDropout3D(rate=dropout_rate, data_format=data_format)(convolution1) convolution2 = create_convolution_block(input_layer=dropout, n_filters=n_level_filters) return convolution2
注：本文中的keras.layers.SpatialDropout3D方法
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