update README

README.md

@@ -3,11 +3,14 @@
 The source code of the blog posts,
 [Deep learning tutorial with Chainer](http://corochann.com/deep-learning-tutorial-with-chainer).
 
+It is compatible with chainer v2.
+
 The tutorial includes following examples,
 
 ## Multi Layer Perceptron (MLP) for MNIST classification
-![MNIST inference result](https://github.com/corochann/chainer-hands-on-tutorial/blob/master/src/mnist/inference.png)
+![MNIST inference result](https://github.com/corochann/deep-learning-tutorial-with-chainer/blob/master/src/02_mnist_mlp/inference.png)
 
 ## Convolutional Neural Network (CNN) for CIFAR-10, CIFAR-100 image classification
-![CNN inference result](https://github.com/corochann/chainer-hands-on-tutorial/blob/master/src/cnn/images/cifar10_predict.png)
+![CNN inference result](https://github.com/corochann/deep-learning-tutorial-with-chainer/blob/master/src/04_cifar_cnn/images/cifar10_predict.png)
 
+## Recurrent Neural Network (RNN) for sequence data prediction