Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance. In this demo, we present the working system of the state-of-the-art neural machine translation system which implements a novel attention mechanism. This system has achieved a translation performance comparable to the existing state-of-the-art phrase-based system on the task of English-to-French translation.