Fix README.en.md in MNIST for jupyter.

recognize_digits/README.en.md

@@ -240,7 +240,7 @@ def event_handler(event):
             print "Pass %d, Batch %d, Cost %f, %s" % (
                 event.pass_id, event.batch_id, event.cost, event.metrics)
     if isinstance(event, paddle.event.EndPass):
-        result = trainer.test(reader=paddle.reader.batched(
+        result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))
         print "Test with Pass %d, Cost %f, %s\n" % (
             event.pass_id, result.cost, result.metrics)
@@ -248,7 +248,7 @@ def event_handler(event):
                       result.metrics['classification_error_evaluator']))
 
 trainer.train(
-    reader=paddle.reader.batched(
+    reader=paddle.batch(
         paddle.reader.shuffle(
             paddle.dataset.mnist.train(), buf_size=8192),
         batch_size=128),

recognize_digits/index.en.html

@@ -282,7 +282,7 @@ def event_handler(event):
             print "Pass %d, Batch %d, Cost %f, %s" % (
                 event.pass_id, event.batch_id, event.cost, event.metrics)
     if isinstance(event, paddle.event.EndPass):
-        result = trainer.test(reader=paddle.reader.batched(
+        result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))
         print "Test with Pass %d, Cost %f, %s\n" % (
             event.pass_id, result.cost, result.metrics)
@@ -290,7 +290,7 @@ def event_handler(event):
                       result.metrics['classification_error_evaluator']))
 
 trainer.train(
-    reader=paddle.reader.batched(
+    reader=paddle.batch(
         paddle.reader.shuffle(
             paddle.dataset.mnist.train(), buf_size=8192),
         batch_size=128),