Deep Learning Fundamentals: from modeling strategies up to a complete solution

Many open source deep learning frameworks are competing for the position that eases programming the most. This helps researchers with faster iterations. But for the industry, the next question is -- how to run the programs. AI depends on big data, which come from Web servers and in the form of log messages, or from crawlers and in the form of external datasets. In the industry, we need a complete solution that covers the collecting of data, learning from data, and feedback the models to the business. This talk explains lessons we learned from PaddlePaddle, a recently open sourced deep learning platform which has been widely used in Baidu for four years.