In this section, you will build on your understanding acquired from the previous sections and develop newer concepts and learn new techniques for action recognition and object detection. Throughout this section, you will learn different TensorFlow tools, such as TensorFlow Hub, TFRecord, and TensorBoard. You will also learn how to use TensorFlow to develop machine learning models for action recognition.
By the end of this section, you will be able to do the following:
- Understand the theory and develop an intuition behind various action recognition methods such as OpenPose, Stacked HourGlass, and PoseNet (chapter 9)
- Analyze the OpenPose and Stacked HourGlass code to develop an understanding of how to build a very complex neural network and connect its different blocks. Hopefully, you can use this learning to...
