diff --git a/README.md b/README.md
index 8de9d84..57ab2ab 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,11 @@
 Caffe on Mobile Devices
 ==================
 
-TODO
+iOS/Android Caffe lib with demo APP (CPU_ONLY, NO_BACKWARD, NO_BOOST, NO_HDF5, NO_LEVELDB)
 
 # For iPhone Simulator
 
-## Step 1: Build Caffe-Mobile Lib with cmake&make
+## Step 1: Build Caffe-Mobile Lib with cmake
 
 ```
 $ git clone --recursive https://github.com/solrex/caffe-mobile.git
@@ -18,7 +18,7 @@ $ cmake .. -DCMAKE_TOOLCHAIN_FILE=../third_party/ios-cmake/toolchain/iOS.cmake \
 $ make -j 4
 ```
 
-## Step 2: Build Example iOS App: CaffeSimple with Xcode
+## Step 2: Build iOS App: CaffeSimple with Xcode
 
  - For CaffeSimple to run, you need a pre-trained LeNet on MNIST caffe model and the weight file.
 Follow the instructions in [Training LeNet on MNIST with Caffe](http://caffe.berkeleyvision.org/gathered/examples/mnist.html) to train your LeNet Model on MNIST. Then copy the model file `caffe/examples/mnist/lenet.prototxt` and the trained weight file `caffe/examples/mnist/lenet_iter_10000.caffemodel` to CaffeSimple app directory.
@@ -31,9 +31,8 @@ $ cp $CAFFE/examples/mnist/lenet_iter_10000.caffemodel $CAFFE_MOBILE/examples/io
  - Load the Xcode project inside the `$CAFFE_MOBILE/examples/ios/simple/` folder, and press Command-R to build and run it on the simulator.
 
 # For iPhone
-==================
 
-## Step 1: Build Caffe-Mobile Lib with cmake&make
+## Step 1: Build Caffe-Mobile Lib with cmake
 
 ```
 $ git clone --recursive https://github.com/solrex/caffe-mobile.git
@@ -46,7 +45,7 @@ $ cmake .. -DCMAKE_TOOLCHAIN_FILE=../third_party/ios-cmake/toolchain/iOS.cmake \
 $ make -j 4
 ```
 
-## Step 2: Build Example iOS App: CaffeSimple with Xcode
+## Step 2: Build iOS App: CaffeSimple with Xcode
 
  - For CaffeSimple to run, you need a pre-trained LeNet on MNIST caffe model and the weight file.
 Follow the instructions in [Training LeNet on MNIST with Caffe](http://caffe.berkeleyvision.org/gathered/examples/mnist.html) to train your LeNet Model on MNIST. Then copy the model file `caffe/examples/mnist/lenet.prototxt` and the trained weight file `caffe/examples/mnist/lenet_iter_10000.caffemodel` to CaffeSimple app directory.
@@ -58,34 +57,37 @@ $ cp $CAFFE/examples/mnist/lenet_iter_10000.caffemodel $CAFFE_MOBILE/examples/io
 
  - Load the Xcode project inside the `$CAFFE_MOBILE/examples/ios/simple/` folder, and press Command-R to build and run it on your connected device.
 
-# For OSX Check built
+# For MacOSX & Ubuntu
 ==================
 
-## Step 1: Build Caffe-Mobile Lib with cmake&make
-
-### OSX 1: Use brew installed protobuf
+## Step 1: Install dependency
 
 ```
-$ brew install protobuf
-$ cd build
-$ cmake ..
-$ make -j 4
+$ brew install protobuf # MacOSX
+$ sudo apt install libprotobuf-dev protobuf-compiler libatlas-dev # Ubuntu
 ```
 
-### OSX 2: Use self built protobuf
+## Step 2: Build Caffe-Mobile Lib with cmake
 
 ```
-$ cd third_party
-$ ./build-protobuf-3.1.0.sh
+$ git clone --recursive https://github.com/solrex/caffe-mobile.git
+$ mkdir build
 $ cd ../build
-$ cmake .. -DCMAKE_PREFIX_PATH=$PWD/../third_party/protobuf
+$ cmake ..
 $ make -j 4
 ```
 
-## Step 2: Build Caffe-bin with cmake&make
+## Step 3: Build Caffe-bin with cmake
 
 ```
 $ brew install gflags
-$ cmake .. -DCMAKE_PREFIX_PATH=$PWD/../third_party/protobuf -DTOOLS
+$ cmake .. -DTOOLS
 $ make -j 4
 ```
+
+# Thanks
+
+ - Based on https://github.com/BVLC/caffe
+ - Inspired by https://github.com/chyh1990/caffe-compact
+ - Use https://github.com/Yangqing/ios-cmake
+ - Use https://gist.github.com/TyGuy/e814d23046772a98ae437270e8aaaf08