Update the English Image Classification markdown

02.recognize_digits/README.md

@@ -421,7 +421,7 @@ def load_image(file):
     im = im / 255.0 * 2.0 - 1.0
     return im
 
-cur_dir = cur_dir = os.getcwd()
+cur_dir = os.getcwd()
 img = load_image(cur_dir + '/image/infer_3.png')
 ```
 

02.recognize_digits/index.html

@@ -463,7 +463,7 @@ def load_image(file):
     im = im / 255.0 * 2.0 - 1.0
     return im
 
-cur_dir = cur_dir = os.getcwd()
+cur_dir = os.getcwd()
 img = load_image(cur_dir + '/image/infer_3.png')
 ```
 

03.image_classification/train.py

@@ -56,7 +56,7 @@ def train(use_cuda, train_program, params_dirname):
     def event_handler(event):
         if isinstance(event, fluid.EndStepEvent):
             if event.step % 100 == 0:
-                print("Pass %d, Batch %d, Cost %f, Acc %f" %
+                print("\nPass %d, Batch %d, Cost %f, Acc %f" %
                       (event.step, event.epoch, event.metrics[0],
                        event.metrics[1]))
             else:
@@ -67,7 +67,8 @@ def train(use_cuda, train_program, params_dirname):
             avg_cost, accuracy = trainer.test(
                 reader=test_reader, feed_order=['pixel', 'label'])
 
-            print('Loss {0:2.2}, Acc {1:2.2}'.format(avg_cost, accuracy))
+            print('\nTest with Pass {0}, Loss {1:2.2}, Acc {2:2.2}'.format(
+                event.epoch, avg_cost, accuracy))
             if params_dirname is not None:
                 trainer.save_params(params_dirname)