Update INTRO.md

Author: tango4j

INTRO.md

@@ -24,7 +24,7 @@ Currently, torch.Variable returns torch.tensor and torch.tensor can function as
 |---------------|------------------------------------------------------|----------------------------------------------------|
 |  Numpy to tensor | [**Numpy to tf.Tensor**](https://github.com/tango4j/tensorflow-vs-pytorch#numpy-to-tftensor) <br/> ```tf.convert_to_tensor(numpy_array, np.float32)``` | [**Numpy to torch.Tensor**](https://github.com/tango4j/tensorflow-vs-pytorch#numpy-to-torchtensor) <br/> ```torch.from_numpy(numpy_array)``` |
 | Tensor to Numpy  | [**tf.Tensor to Numpy**](https://github.com/tango4j/tensorflow-vs-pytorch#tftensor-to-numpy) <br/> ```tensorflow_tensor.eval()```  <br/>  ```tf.convert_to_tensor(numpy_array, np.float32)```  |  [**torch.Tensor to Numpy**](https://github.com/tango4j/tensorflow-vs-pytorch#torchtensor-to-numpy) <br/> ```torch_for_numpy.numpy()``` |
-| Dimension check | [.shape variable](https://github.com/tango4j/tensorflow-vs-pytorch#shape-variable-in-tensorflow) <br/>  [tf.rank function](https://github.com/tango4j/tensorflow-vs-pytorch#tfrank-function) <br/> ```my_image.shape```  <br/>  ```tf.rank(my_image)``` | [Automatically Displayed PyTorch Tensor Dimension](https://github.com/tango4j/tensorflow-vs-pytorch#automatically-displayed-pytorch-tensor-dimension)  <br/>   [.shape variable in PyTorch](https://github.com/tango4j/tensorflow-vs-pytorch#shape-variable-in-pytorch) <br/> ```torch_for_numpy.shape ```  | 
+| Dimension check | [**.shape variable**](https://github.com/tango4j/tensorflow-vs-pytorch#shape-variable-in-tensorflow) <br/>  [tf.rank function](https://github.com/tango4j/tensorflow-vs-pytorch#tfrank-function) <br/> ```my_image.shape```  <br/>  ```tf.rank(my_image)``` | [**Automatically Displayed Dim.**](https://github.com/tango4j/tensorflow-vs-pytorch#automatically-displayed-pytorch-tensor-dimension)  <br/>  [**.shape variable in PyTorch**](https://github.com/tango4j/tensorflow-vs-pytorch#shape-variable-in-pytorch) <br/> ```torch_for_numpy.shape ```  | 
 
 ## Table of Contents