update docs

README.md

@@ -2,8 +2,9 @@
 Neural Network Toolbox on TensorFlow
 
 [![Build Status](https://travis-ci.org/ppwwyyxx/tensorpack.svg?branch=master)](https://travis-ci.org/ppwwyyxx/tensorpack)
+[![badge](https://readthedocs.org/projects/pip/badge/?version=latest)](http://tensorpack.readthedocs.io/en/latest/index.html)
 
-Docs & tutorials should be ready within a month. See some [examples](examples) to learn about the framework:
+Tutorials are not fully finished. See some [examples](examples) to learn about the framework:
 
 ### Vision:
 + [DoReFa-Net: train binary / low-bitwidth CNN on ImageNet](examples/DoReFa-Net)

docs/casestudies/colorize.md

 
 # Colorize
 
+NOTE: this page is a bit outdated. Will be updated soon.
+
 As creating a neural network for digit classification seems to be a bit outdated, we will create a fictional network that learns to colorize grayscale images. In this case-study, you will learn to do the following using TensorPack.
 
 - DataFlow

docs/tutorial/glance.md

 
 ## A High-Level Glance
 
-The following guide introduces some core concepts of TensorPack. In contrast to several other libraries TensorPack contains of several modules to build complex deep learning algorithms and train models with high accuracy and high speed.
+TBD.
 
+You're recommended to glance at the [examples](../examples) to get a feeling about the
+structure.