How to run a CNN TensorFlow model on an embedded hardware accelerator

In this video we will show a celebrity comparison demo and explain how to train such a model. We will look into embeddings and how to use a deep neural network to create bottleneck features resulting in image comparison.  

Further, we will explain how to preprocess the model to be ready for the neural accelerator on an embedded hardware (phyBOARD pollux, NXP i.mx8M Plus).