Update tf.layers.conv2d.md

tensorflow2fluid/doc/tf.layers.conv2d.md

@@ -51,7 +51,7 @@ TensorFlow: 默认输入数据格式为`NHWC`，表示`(batch，height, width, i
 | 输入 | 卷积核 | 输出 |
 |--------------------|-------------------|------------------|
 |NHWC | (kernel_h, kernel_w, filters_num, in_channels)| (batch, out_h, out_w, filters_num)|
-|NDHW | (kernel_h, kernel_w, filters_num, in_channels) | (batch, filters_num, out_h, out_w)|
+|NCHW | (kernel_h, kernel_w, filters_num, in_channels) | (batch, filters_num, out_h, out_w)|
 
 PaddlePaddle：只支持输入数据格式为`NCHW`，且**卷积核格式**与TensorFlow不同，其中输入、输出、卷积核对应关系如下表所示，
 
@@ -84,4 +84,4 @@ PaddlePaddle: 使用`paddle.fluid.layers.conv2d`，可参考
 # 卷积核Shape: (5, 3, 4, 4)
 inputs = paddle.fluid.layers.data(dtype='float32', shape=[3, 200, 200], name='inputs)
 pad_inputs = paddle.fluid.layers.pad2d(inputs, paddings=[1, 2, 1, 2])
-outputs = paddle.fluid.layers.conv2d(pad_inputs, 5, [4, 4], (1, 1))
+outputs = paddle.fluid.layers.conv2d(pad_inputs, 5, [4, 4], (1, 1))
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