fix formats in README.md

fluid/image_classification/caffe2fluid/README.md

-### caffe2fluid
-    this tool is used to convert a caffe-model to paddle-model(fluid api)
+### Caffe2Fluid
+This tool is used to convert a Caffe model to Fluid model
 
-### howto
-    1, prepare caffepb.py in ./proto, two options provided
-        option 1: generate it from caffe.proto using protoc
-            bash ./proto/compile.sh
+### Howto
+1, Prepare caffepb.py in ./proto, two options provided
+    1) generate it from caffe.proto using protoc
+        bash ./proto/compile.sh
 
-        option2: download one from github directly
-            cd proto/ && wget https://github.com/ethereon/caffe-tensorflow/blob/master/kaffe/caffe/caffepb.py
+    2) download one from github directly
+        cd proto/ && wget https://github.com/ethereon/caffe-tensorflow/blob/master/kaffe/caffe/caffepb.py
 
-    2, convert you caffe model using convert.py which will generate a python code and weight(in .npy)
+2, Convert the caffe model using convert.py which will generate a python code and weight(in .npy)
 
-    3, use the converted model to predict
+3, Use the converted model to predict
+    see more detail info in 'tests/lenet/README.md'
 
-    (see more detail info in 'tests/lenet/README.md')
 
+### Supported models
+- Lenet on mnist dataset
 
-### supported models
-    lenet on mnist dataset
+- ResNets:(ResNet-50, ResNet-101, ResNet-152)
+    model addrs:(https://onedrive.live.com/?authkey=%21AAFW2-FVoxeVRck&id=4006CBB8476FF777%2117887&cid=4006CBB8476FF777)
 
-    resnets:(resnet50, resnet101, resnet152)
-        model addrs:(https://onedrive.live.com/?authkey=%21AAFW2-FVoxeVRck&id=4006CBB8476FF777%2117887&cid=4006CBB8476FF777)
-
-### notes
-    some of this code come from here: https://github.com/ethereon/caffe-tensorflow
+### Notes
+Some of this code come from here: https://github.com/ethereon/caffe-tensorflow

fluid/image_classification/caffe2fluid/tests/lenet/README.md

-### convert lenet model from caffe format into paddle format(fluid api)
+### Convert lenet model from caffe format into paddle format(fluid api)
 
-### howto
-    0, prepare your caffepb.py
+### Howto
+1, Prepare your caffepb.py
 
-    1, download a lenet caffe-model
-        lenet_iter_10000.caffemodel
-            download address: https://github.com/ethereon/caffe-tensorflow/raw/master/examples/mnist/lenet_iter_10000.caffemodel
-            md5: cbec75c1c374b6c1981c4a1eb024ae01  
+2, Download a lenet caffe-model
+    lenet_iter_10000.caffemodel
+        download address: https://github.com/ethereon/caffe-tensorflow/raw/master/examples/mnist/lenet_iter_10000.caffemodel
+        md5: cbec75c1c374b6c1981c4a1eb024ae01  
 
-        lenet.prototxt
-            download address: https://raw.githubusercontent.com/BVLC/caffe/master/examples/mnist/lenet.prototxt
-            md5: 27384af843338ab90b00c8d1c81de7d5
+    lenet.prototxt
+        download address: https://raw.githubusercontent.com/BVLC/caffe/master/examples/mnist/lenet.prototxt
+        md5: 27384af843338ab90b00c8d1c81de7d5
 
 
-    2, convert this model(make sure caffepb.py is ready in ../../proto)
-        * convert to npy format
-            bash ./convert.sh lenet.prototxt lenet.caffemodel lenet.py lenet.npy
+2, Convert this model(make sure caffepb.py is ready in ../../proto)
+    convert to npy format
+        bash ./convert.sh lenet.prototxt lenet.caffemodel lenet.py lenet.npy
 
-        * save to fluid format(optional)
-            bash ./convert.sh lenet.prototxt lenet.caffemodel lenet.py lenet.npy && python ./lenet.py ./lenet.npy ./fluid.model
+    save to fluid format(optional)
+        bash ./convert.sh lenet.prototxt lenet.caffemodel lenet.py lenet.npy && python ./lenet.py ./lenet.npy ./fluid.model
 
-    4, use this new model(paddle installed in this python)
-        * use fluid format
-            python ./predict.py ./fluid.model
+4, Use this new model(paddle installed in this python)
+    use fluid format
+        python ./predict.py ./fluid.model
 
-        * use npy format
-            python ./predict.py ./lenet.npy
+    use npy format
+        python ./predict.py ./lenet.npy