Joyce Xu

About Me

Joyce Xu is AI/ML engineer at DeepMind. She has a special interest in reinforcement learning, natural language processing, and distributed computing. Her writings on deep learning have been featured on Hacker News, KDnuggets, AITopics. a publication of the Association for the Advancement of Artificial Intelligence, the Startup Grind and Towards Data Science. She was invited to speak at a few conferences for data science and ML.

Deep Learning for Object Detection: A Comprehensive Review

Faster R-CNN, R-FCN, and SSD are three of the best and most widely used object detection models out there right now. Other popular models tend to be fairly similar to these three, all relying on deep CNN’s (read: ResNet, Inception, etc.) to do the initial heavy lifting and largely following the same proposal/classification pipeline.  At this point, putting these models to use just requires knowing Tensorflow’s API. Tensorflow has a starter tutorial on using these models. Give it a try!

The Harvard Innovation Lab

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The Harvard Innovation Lab


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