Update README.md

Author: xiaohu2015

README.md

@@ -1,5 +1,5 @@
 # DeepLearning tutorials with Tensorflow
-The deeplearning algorithms implemented by tensorflow  
+The deeplearning algorithms are carefully implemented by [tensorflow](https://www.tensorflow.org/).  
 The deeplearning algorithms includes (now):
 - Logistic Regression  [logisticRegression.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/logisticRegression.py)
 - Multi-Layer Perceptron (MLP) [mlp.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/mlp.py)
@@ -8,6 +8,6 @@ The deeplearning algorithms includes (now):
 - Stacked Denoising Autoencoder (SDA) [sda.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/sdan.py)
 - Restricted Boltzmann Machines (RBM) [rbm.py](https://github.com/xiaohu2015/DeepLearning_tutorials/blob/master/models/rbm.py)
 
-Note: the codes are mostly similar to the [Deep Learning Tutorials](http://www.deeplearning.net/tutorial/)
+Note: the project aims at imitating the well-implemented algorithms in [Deep Learning Tutorials](http://www.deeplearning.net/tutorial/) (coded by [Theano](http://deeplearning.net/software/theano/index.html)).
 
 #### Don't hesitate to star this project if it is helpful!