![【转】python中的一维卷积conv1d和二维卷积conv2d 【转】python中的一维卷积conv1d和二维卷积conv2d](https://image.shishitao.com:8440/aHR0cHM6Ly9ia3FzaW1nLmlrYWZhbi5jb20vdXBsb2FkL2NoYXRncHQtcy5wbmc%2FIQ%3D%3D.png?!?w=700&webp=1)
转自:https://blog.csdn.net/qq_26552071/article/details/81178932
二维卷积conv2d
给定4维的输入张量和滤波器张量来进行2维的卷积计算。即:图像进行2维卷积计算
一维卷积conv1d
value = array_ops.expand_dims(value, spatial_start_dim) # 输入张量
filters = array_ops.expand_dims(filters, 0) # 滤波器
result = gen_nn_ops.conv2d(
value,
filters,
strides,
padding,
use_cudnn_on_gpu=use_cudnn_on_gpu,
data_format=data_format)
return array_ops.squeeze(result, [spatial_start_dim])
给定三维的输入张量和滤波器来进行1维卷积计算。即:语音等三维数据进行1维卷积计算