diff --git a/README.md b/README.md
index ed1182c9c..aa6c7ed88 100644
--- a/README.md
+++ b/README.md
@@ -85,7 +85,7 @@ Examples can be found [in this folder](https://github.com/zsdonghao/tensorlayer/
  - VGG 19 (ImageNet). Classification task, see [tutorial_vgg19.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_vgg19.py).
  - InceptionV3 (ImageNet). Classification task, see [tutorial\_inceptionV3_tfslim.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_inceptionV3_tfslim.py).
  - SqueezeNet (ImageNet). Classification task, see [tutorial_squeezenet.py](https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_squeezenet.py)
- - BinaryNet (MNIST). Classification task, see [tutorial_squeezenet.py](https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py) 
+ - BinaryNet (MNIST). Classification task, see [tutorial_binarynet_mnist_cnn.py](https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py) 
  - Wide ResNet (CIFAR) by [ritchieng](https://github.com/ritchieng/wideresnet-tensorlayer).
  - More CNN implementations of [TF-Slim](https://github.com/tensorflow/models/tree/master/research/slim) can be connected to TensorLayer via SlimNetsLayer.
  - [Spatial Transformer Networks](https://arxiv.org/abs/1506.02025) by [zsdonghao](https://github.com/zsdonghao/Spatial-Transformer-Nets).
diff --git a/docs/conf.py b/docs/conf.py
index d41761007..74d9e400b 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -67,9 +67,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '1.8.2'
+version = '1.8.3rc0'
 # The full version, including alpha/beta/rc tags.
-release = '1.8.2'
+release = '1.8.3rc0'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
@@ -143,7 +143,7 @@
 # The name for this set of Sphinx documents.
 # "<project> v<release> documentation" by default.
 #
-# html_title = 'TensorLayer v1.8.2'
+# html_title = 'TensorLayer v1.8.3rc0'
 
 # A shorter title for the navigation bar.  Default is the same as html_title.
 #
diff --git a/docs/user/example.rst b/docs/user/example.rst
index 1502dbc97..d91b55ba6 100644
--- a/docs/user/example.rst
+++ b/docs/user/example.rst
@@ -22,7 +22,7 @@ Computer Vision
  - VGG 19 (ImageNet). Classification task, see `tutorial_vgg19.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_vgg19.py>`_.
  - InceptionV3 (ImageNet). Classification task, see `tutorial_inceptionV3_tfslim.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_inceptionV3_tfslim.py>`_.
  - SqueezeNet (ImageNet). Classification task, see `tutorial_squeezenet.py <https://github.com/zsdonghao/tensorlayer/blob/master/example/tutorial_squeezenet.py>`_.
- - BinaryNet (MNIST). Classification task, see `tutorial_squeezenet.py <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py>`_.
+ - BinaryNet (MNIST). Classification task, see `tutorial_binarynet_mnist_cnn.py <https://github.com/tensorlayer/tensorlayer/blob/master/example/tutorial_binarynet_mnist_cnn.py>`_.
  - Wide ResNet (CIFAR) by `ritchieng <https://github.com/ritchieng/wideresnet-tensorlayer>`_.
  - More CNN implementations of `TF-Slim <https://github.com/tensorflow/models/tree/master/research/slim>`_ can be connected to TensorLayer via SlimNetsLayer.
  - `Spatial Transformer Networks <https://arxiv.org/abs/1506.02025>`_ by `zsdonghao <https://github.com/zsdonghao/Spatial-Transformer-Nets>`__.
diff --git a/example/tutorial_inceptionV3_tfslim.py b/example/tutorial_inceptionV3_tfslim.py
index ae0a74ff3..275cc4381 100644
--- a/example/tutorial_inceptionV3_tfslim.py
+++ b/example/tutorial_inceptionV3_tfslim.py
@@ -132,6 +132,7 @@ def print_prob(prob):
 img1 = load_image("data/puzzle.jpeg")  # test data in github: https://github.com/zsdonghao/tensorlayer/tree/master/example/data
 img1 = img1.reshape((1, 299, 299, 3))
 
+prob = sess.run(probs, feed_dict={x: img1})  # the 1st time need time to compile
 start_time = time.time()
 prob = sess.run(probs, feed_dict={x: img1})
 print("End time : %.5ss" % (time.time() - start_time))
diff --git a/example/tutorial_squeezenet.py b/example/tutorial_squeezenet.py
index d530b1b64..c8b3b3a2b 100644
--- a/example/tutorial_squeezenet.py
+++ b/example/tutorial_squeezenet.py
@@ -113,7 +113,7 @@ def squeezenet(x, is_train=True, reuse=False):
 
 img = tl.vis.read_image('data/tiger.jpeg', '')
 img = tl.prepro.imresize(img, (224, 224))
-prob = sess.run(softmax, feed_dict={x: [img]})[0]
+prob = sess.run(softmax, feed_dict={x: [img]})[0]  # the 1st time need time to compile
 start_time = time.time()
 prob = sess.run(softmax, feed_dict={x: [img]})[0]
 print("  End time : %.5ss" % (time.time() - start_time))
diff --git a/setup.py b/setup.py
index 6483d7c97..b86d2e10e 100755
--- a/setup.py
+++ b/setup.py
@@ -10,7 +10,7 @@
 
 setup(
     name="tensorlayer",
-    version="1.8.2",
+    version="1.8.3rc0",
     include_package_data=True,
     author='TensorLayer Contributors',
     author_email='hao.dong11@imperial.ac.uk',
diff --git a/tensorlayer/__init__.py b/tensorlayer/__init__.py
index 5d3d8cc86..c03a7f163 100644
--- a/tensorlayer/__init__.py
+++ b/tensorlayer/__init__.py
@@ -23,7 +23,7 @@
 act = activation
 vis = visualize
 
-__version__ = "1.8.2"
+__version__ = "1.8.3rc0"
 
 global_flag = {}
 global_dict = {}