Rapid advances in AI research are enabling new applications to be built every day and across different industries that weren’t possible just a few years ago. By learning these tools, you will be empowered to invent new products and applications yourself. Even if you end up not working on computer vision per se, many concepts here are useful for deep learning algorithms and architectures.

After working our way through the foundations of deep learning in part 1, it’s time to build a machine learning project to see what you’ve learned. Here, we’ll cover strategies to quickly and efficiently get deep learning systems working, analyze results, and improve network performance, specifically by digging into advanced convolutional neural networks, transfer learning, and object detection.