Deep learning for computer vision takes centre stage in September when The Embedded Vision Alliance (Walnut Creek/California, US) offers a training course.
The full-day course, based on Google’s TensorFlow framework, takes place at the Steigenberger Hotel in Hamburg on the 7th of September 2017.
Experts say that deep neural network techniques are showing excellent results for a wide range of visual perception tasks, from face and object recognition to optical flow. And even very difficult problems like lip reading are yielding to these algorithms. And it’s for these reasons that developers, who are trying to solve challenging visual perception tasks, will want to carefully consider deep neural network techniques.
What’s more, Google´s open source TensorFlow has rapidly become one of the most popular software frameworks for designing, training, evaluating and deploying deep neural networks.
The training, which will be held in English, is targeted at engineers creating algorithms and software for visual machine perception in all types of applications (in the industrial, medical, consumer, retail, public safety or automotive area) who want to quickly come up to speed on using TensorFlow for these applications.
It’s also useful for managers who want to get a flavour for creating deep neural networks and using TensorFlow.