Neural network is a branch of machine learning, it can be viewed as a mathematical model with lots of parameters. By mapping the relationship between the input and the output, the model reveals the underlying physical law. We want to use this technique to predict the molecular properties rather than traditional method, which is time-consuming and expensive. Furthermore, our ultimate goal is to bidirectionally transform between various molecular representations and properties.