Guest
Tatiana Gabruseva is a Data scientist, artist, Machine learning/ Computer Vision engineer, a doctor in physics and who knows what else. In this talk she explains the basics of Computer Vision, in particular: * Deep learning libraries in python: Keras vs Pytorch * Basic computer vision pipeline (on the example of a kaggle competition) * Choosing metrics and losses for computer vision tasks * Useful computer vision libraries: openCV, PIL, imgaug, torchvision, etc. * Images preprocessing and augmentations wit
