Update tf.nn.conv2d_transpose.md

tensorflow2fluid/doc/tf.nn.conv2d_transpose.md

@@ -41,7 +41,7 @@ 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，
 
@@ -92,4 +92,4 @@ inputs = fluid.layers.data(dtype='float32', shape=[3, 20, 20], name='inputs)
 outputs = fluid.layers.conv2d_transpose(pad_inputs, 3, filter_size=[5, 5], 
                         padding=[1, 1],  stride=[2, 2], bias_attr=False)
 # 裁剪后结果即为与TensorFlow一致
-outputs = fluid.layers.crop(outputs, shape=[-1, 3, 40, 40])
+outputs = fluid.layers.crop(outputs, shape=[-1, 3, 40, 40])
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