Conv1

Conv1D和Conv2D的区别

layer = layers.Conv1D(input_shape=(66, 5), filters=100, kernel_size=10, padding="same", activation="relu", strides=1) 上述例子为例,实际上和二维卷积是一样的,只不过卷积核的第二个维度 ......
Conv Conv1D Conv2D Conv1 Conv2

<class 'torch.nn.modules.conv.Conv1d'> torch.nn.Conv1d

1、Conv1d 定义class torch.nn.Conv1d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True) 自然语言处理中一个句子序列,一维的,所以使用C ......
Conv1d Conv1 torch Conv modules
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