The course is about the practical aspects of deep learning. In addition to frontal lectures, the flipped classes and student project presentations will be organized. During lab sessions the working language is Python. The primary framework for deep learning is TensorFlow. Usage of PyTorch is possible, usage of Docker is highly appreciated.