November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Overview of the application
Human action recognition is a very interesting problem in computer vision and machine learning. There are two popular approaches to this problem,that is,still image action recognition and video action recognition. In still image action recognition, we can fine-tune a pre-trained model from ImageNet and perform a classification of the actions based on the static image. You can review the previous chapters for more information. In this chapter, we will create a model that can recognize human action from videos. At the end of the chapter, we will show you how to use multiple GPUs to speed up the training process.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.