Train neural networks using AMD GPUs and Keras

AMD is developing a new HPC platform, called ROCm. Its ambition is to create a common, open-source environment, capable to interface both with Nvidia (using CUDA) and AMD GPUs (further information). This tutorial will explain how to set-up a neural network environment, using AMD GPUs in a single or multiple configurations. On the software side: we will be able to run Tensorflow v1.12.0 as a backend to Keras on top of the ROCm kernel, using Docker. To install and deploy ROCm are required particular hardware/software configurations.