Denys is an AI Solution Architect at MobiDev. His expertise includes solving complex tasks like predictive maintenance, object detection, text classification, image segmentation with the help of Machine Learning, Deep Learning, Computer Vision and Natural Language Processing.
During his 6 years in Data Science, Denys has worked with the transport, telecom, manufacturing, retail, dating and recruiting domains. He holds a Master's degree in Particle Physics, enjoys learning foreign languages and exploring new technologies.
GAN (Generative Adversarial Network) is a new and promising form of artificial neural networks.
This innovative deep learning approach has recently sparked off a lot of academic research papers.
GAN applications are becoming more and more numerous.
From generating new photo-realistic images and videos, to 3D object creation, clothes translation, style transfer, animating photos, etc.
In this session Denys will highlight the examples of applying GANs to different business domains.
