Jiao Wang is a software engineer on the Big Data Technology team at Intel who works in the area of big data analytics. She is engaged in developing and optimizing distributed deep learning frameworks on Apache Spark.
Deep Reinforcement Learning (DRL) is a thriving area in the current AI battlefield. AlphaGO by DeepMind is a very successful application of DRL which has drawn the attention of the entire world. Besides playing games, DRL also has many practical use in industry, e.g. autonomous driving, chatbots, financial investment, inventory management, and even recommendation systems. Although DRL applications has something in common with supervised Computer Vision or Natural Language Processing tasks, they are unique in many ways. For example, they have to interact (explore) with the environment to obtain training samples along the optimization, and the method to improve the model is usually different from common supervised applications. In this talk we will share our experience of building Deep Reinforcement Learning applications on BigDL/Spark. BigDL is a well-developed deep learning library on Spark which is handy for Big Data users, but it has been mostly used for supervised and unsupervised machine learning. We have made extensions particularly for DRL algorithms (e.g. DQN, PG, TRPO and PPO, etc.), implemented classical DRL algorithms, built applications with them and did performance tuning. We are happy to share what we have learnt during this process. We hope our experience will help our audience learn how to build a RL application on their own for in their production business.
AI plays a central role in the today’s Internet applications and emerging intelligent systems, which are driving the need for scalable, distributed big data analytics with deep learning capabilities. There is increasing demand from organizations to discover and explore data using advanced big data analytics and deep learning. In this talk, we will share how we work with our users to build deep learning powered big data analytics applications (e.g., object detection, image recognition, NLP, etc.) using BigDL, an open source distributed deep learning library for Apache Spark.