1. remove external links. 2.update python doc

example/googlenet_cifar10/README.md

@@ -8,7 +8,7 @@ This example is for Googlenet model training and evaluation.
 
 - Install [MindSpore](https://www.mindspore.cn/install/en).
 
-- Download the dataset [CIFAR-10](http://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz).
+- Download the CIFAR-10 binary version dataset.
 
 > Unzip the CIFAR-10 dataset to any path you want and the folder structure should be as follows:
 > ```

mindspore/model_zoo/googlenet.py

@@ -32,7 +32,7 @@ class Conv2dBlock(nn.Cell):
          kernel_size (int): Input kernel size. Default: 1
          stride (int): Stride size for the first convolutional layer. Default: 1.
          padding (int): Implicit paddings on both sides of the input. Default: 0.
-         pad_mode (int): Padding mode. Optional values are "same", "valid", "pad". Default: "same".
+         pad_mode (str): Padding mode. Optional values are "same", "valid", "pad". Default: "same".
       Returns:
           Tensor, output tensor.
     """