Recognizing Drawing with CNN and LSTM

In the previous chapter, we saw the power of using a deep learning model that integrates CNN with LSTM RNN to generate a natural language description of an image. If deep learning-powered AI is like the new electricity, we certainly expect to see the application of such hybrid neural network models in many different areas. What's the opposite of a serious application such as image captioning? A fun drawing app such as Quick Draw (https://quickdraw.withgoogle.com, see https://quickdraw.withgoogle.com/data for fun sample data), which uses a model trained and based on 50 million drawings in 345 categories, and classifies new drawings into those categories, sounds like a good one. And there's an official TensorFlow tutorial (https://www.tensorflow.org/tutorials/recurrent_quickdraw) on how to build such a model to help us start quickly...