Embedded Vision Alliance offers deep learning training course in Hamburg
The Embedded Vision Alliance offers a full-day training course about Deep Learning for computer vision, based on Google’s TensorFlow framework, in Hamburg on the 7th of September 2017. Deep neural network techniques are showing excellent results for a wide range of visual perception tasks, from face and object recognition to optical flow. Even very difficult problems like lip reading are yielding to these algorithms. For these reasons, developers who are trying to solve challenging visual perception tasks will want to carefully consider deep neural network techniques. Google´s open source TensorFlow™ has rapidly become one of the most popular software frameworks for designing, training, evaluating and deploying deep neural networks. A perfect and effective opportunity to learn how to use TensorFlow for visual perception tasks is the full-day training course offered by the Embedded Vision Alliance in the Steigenberger Hotel in Hamburg, Germany, on the 7th of September 2017. This training will provide hands-on knowledge needed to use TensorFlow to create and deploy deep learning computer vision applications on PCs, embedded systems, mobile devices and in the cloud. TensorFlow’s flexible architecture enables deploying computation to one or more CPUs, GPUs, DSPs or other processing engines using a single API. In his…
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