fix path error and add infer_3 url test=develop

02.recognize_digits/README.cn.md

@@ -524,7 +524,7 @@ Test with Epoch 0, avg_cost: 0.053097883707459624, acc: 0.9822850318471338
 
 ### 生成预测输入数据
 
-`infer_3.png` 是数字 3 的一个示例图像。把它变成一个 numpy 数组以匹配数据feed格式。
+[infer_3.png](https://github.com/PaddlePaddle/book/blob/develop/02.recognize_digits/image/infer_3.png) 是数字 3 的一个示例图像。把它变成一个 numpy 数组以匹配数据feed格式。
 
 ```python
 def load_image(file):
@@ -558,7 +558,7 @@ with fluid.scope_guard(inference_scope):
     lab = numpy.argsort(results)
 
     # 打印 infer_3.png 这张图片的预测结果
-    img=Image.open('image/infer_3.png')
+    img=Image.open(cur_dir + 'image/infer_3.png')
     plt.imshow(img)
     print("Inference result of image/infer_3.png is: %d" % lab[0][0][-1])
 ```

02.recognize_digits/README.md

@@ -508,7 +508,7 @@ You can use trained model to classify handwriting pictures of digits. The progra
 
 ### Generate input data to be inferred
 
-`infer_3.png` is an example picture of number 3. Transform it into a numpy to match feed data format
+[infer_3.png](https://github.com/PaddlePaddle/book/blob/develop/02.recognize_digits/image/infer_3.png) is an example picture of number 3. Transform it into a numpy to match feed data format
 
 
 ```python
@@ -547,7 +547,7 @@ with fluid.scope_guard(inference_scope):
     lab = numpy.argsort(results)
 
     # Print prediction result of  infer_3.png
-    img=Image.open('image/infer_3.png')
+    img=Image.open(cur_dir + 'image/infer_3.png')
     plt.imshow(img)
     print("Inference result of image/infer_3.png is: %d" % lab[0][0][-1])
 ```

02.recognize_digits/index.cn.html

@@ -566,7 +566,7 @@ Test with Epoch 0, avg_cost: 0.053097883707459624, acc: 0.9822850318471338
 
 ### 生成预测输入数据
 
-`infer_3.png` 是数字 3 的一个示例图像。把它变成一个 numpy 数组以匹配数据feed格式。
+[infer_3.png](https://github.com/PaddlePaddle/book/blob/develop/02.recognize_digits/image/infer_3.png) 是数字 3 的一个示例图像。把它变成一个 numpy 数组以匹配数据feed格式。
 
 ```python
 def load_image(file):
@@ -600,7 +600,7 @@ with fluid.scope_guard(inference_scope):
     lab = numpy.argsort(results)
 
     # 打印 infer_3.png 这张图片的预测结果
-    img=Image.open('image/infer_3.png')
+    img=Image.open(cur_dir + 'image/infer_3.png')
     plt.imshow(img)
     print("Inference result of image/infer_3.png is: %d" % lab[0][0][-1])
 ```

02.recognize_digits/index.html

@@ -550,7 +550,7 @@ You can use trained model to classify handwriting pictures of digits. The progra
 
 ### Generate input data to be inferred
 
-`infer_3.png` is an example picture of number 3. Transform it into a numpy to match feed data format
+[infer_3.png](https://github.com/PaddlePaddle/book/blob/develop/02.recognize_digits/image/infer_3.png) is an example picture of number 3. Transform it into a numpy to match feed data format
 
 
 ```python
@@ -589,7 +589,7 @@ with fluid.scope_guard(inference_scope):
     lab = numpy.argsort(results)
 
     # Print prediction result of  infer_3.png
-    img=Image.open('image/infer_3.png')
+    img=Image.open(cur_dir + 'image/infer_3.png')
     plt.imshow(img)
     print("Inference result of image/infer_3.png is: %d" % lab[0][0][-1])
 ```