15min talks of industry peers sharing insights and actionable advice based on hands-on experiences applying AI. Check out our next Novi Sad AI speakers.
Peer-to-Peer sessions on Machine Learning, Natural Language Processing and Computer Vision to connect with new and leading practitioners in your technology realm. Join to increase your network.
Clinic sessions for practitioners to share their specific challenge applying AI gathering initial feedback from industry peers and fellow practitioners. Apply to present your challenge through the registration form.
Machine learning engineer
Machine learning engineer with 3 years of experience in babysitting neural networks training for computer vision related tasks. Interests: Computer vision – Image classification / segmentation / detection & localization Reinforcement learning Recurrent neural networks Experience: Machine learning engineer @ Hentsu Other:DQN @ RAF, Computer science Participant @ Petnica Summer Institute: Machine learning summer school All my interesting Projects you can discover on: Github.com/dulex123
Software architect and machine learning engineer
The subject of the talk: Face verification with convolutional neural networks Abstract: Face verification algorithm based on convolutional neural networks that extract face features. We start by detecting and extracting such features which are further processed through multiple layers to reduce the dimensionality and filter out unique face signature per person. Our approach includes building data processing pipelines, training and testing the machine learning models, analyzing results in accordance with the final goal, and finally deploying them in production.