ZeroPadding3D 类keras.layers.ZeroPadding3D(
padding=((1, 1), (1, 1), (1, 1)), data_format=None, **kwargs
)
用于 3D 数据(空间或时空)的零填充 Layer。
示例
>>> input_shape = (1, 1, 2, 2, 3)
>>> x = np.arange(np.prod(input_shape)).reshape(input_shape)
>>> y = keras.layers.ZeroPadding3D(padding=2)(x)
>>> y.shape
(1, 5, 6, 6, 3)
参数
(symmetric_dim1_pad, symmetric_dim2_pad, symmetric_dim3_pad)。((left_dim1_pad, right_dim1_pad), (left_dim2_pad, right_dim2_pad), (left_dim3_pad, right_dim3_pad))。"channels_last" (默认) 或 "channels_first"。输入中的维度顺序。"channels_last" 对应于形状为 (batch_size, spatial_dim1, spatial_dim2, spatial_dim3, channels) 的输入,而 "channels_first" 对应于形状为 (batch_size, channels, spatial_dim1, spatial_dim2, spatial_dim3) 的输入。如果未指定,则使用 Keras 配置文件 ~/.keras/keras.json(如果存在)中的 image_data_format 值。默认为 "channels_last"。输入形状
5D 张量,形状为:- 如果 data_format 为 "channels_last":(batch_size, first_axis_to_pad, second_axis_to_pad, third_axis_to_pad, depth) - 如果 data_format 为 "channels_first":(batch_size, depth, first_axis_to_pad, second_axis_to_pad, third_axis_to_pad)
输出形状
5D 张量,形状为:- 如果 data_format 为 "channels_last":(batch_size, first_padded_axis, second_padded_axis, third_axis_to_pad, depth) - 如果 data_format 为 "channels_first":(batch_size, depth, first_padded_axis, second_padded_axis, third_axis_to_pad)