default examples to tf 1.11

README.md

@@ -12,23 +12,23 @@ The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are
 |TF|Arch|Python|CUDA|CuDNN|NCCL|Link|
 |---|---|---|---|---|---|---|
 |1.10|GPU+CPU|3.6|9.2|7.2|2.2|[https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.10.0/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.10.0/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl)|
-|1.11.0|GPU+CPU|3.6|10.0|7.3|2.3|[https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl)|
+|1.11|GPU+CPU|3.6|10.0|7.3|2.3|[https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl](https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl)|
 
 ## Installation
 
 Assuming you have all the requirements, you can install the wheel directly via pip:
 
 ```
-pip install https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.10.0/tensorflow-1.10.0-cp36-cp36m-linux_x86_64.whl
+pip install https://github.com/inoryy/tensorflow-optimized-wheels/releases/download/v1.11.0/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl
 ```
 And verify the installation (notice no warning messages):
 
 ```
 python
-Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56) 
+Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 17:14:51) 
 [GCC 7.2.0] on linux
 Type "help", "copyright", "credits" or "license" for more information.
 >>> import tensorflow as tf
->>> print(tf.__version__)
-1.10.0
+>>> tf.__version__
+'1.11.0'
 ```