Essays about: "training stage"
Showing result 21 - 25 of 128 essays containing the words training stage.
-
21. DRIVING-SCENE IMAGE CLASSIFICATION USING DEEP LEARNING NETWORKS: YOLOV4 ALGORITHM
University essay from Uppsala universitet/Statistiska institutionenAbstract : The objective of the thesis is to explore an approach of classifying and localizing different objects from driving-scene images using YOLOv4 algorithm trained on custom dataset. YOLOv4, a one-stage object detection algorithm, aims to have better accuracy and speed. READ MORE
-
22. Improving Driving Ability After Stroke : A scoping review of interventions within occupational therapy
University essay fromAbstract : Stroke is a leading cause of disability in the world and cognitive impairments post stroke are common. Driving is an occupation of great importance to many individuals and enables participation in society but due to cognition deficits after stroke it can be a difficult task to perform adequately. READ MORE
-
23. Learning medical triage by using a reinforcement learning approach
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Many emergency departments are today suffering from a overcrowding of people seeking care. The first stage in seeking care is being prioritised in different orders depending on symptoms by a doctor or nurse called medical triage. This is a cumbersome process that could be subject of automatisation. READ MORE
-
24. Attention-based Multi-Behavior Sequential Network for E-commerce Recommendation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The original intention of the recommender system is to solve the problem of information explosion, hoping to help users find the content they need more efficiently. In an e-commerce platform, users typically interact with items that they are interested in or need in a variety of ways. For example, buying, browsing details, etc. READ MORE
-
25. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. READ MORE