Essays about: "Bildklassificering"
Showing result 6 - 10 of 21 essays containing the word Bildklassificering.
-
6. 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
-
7. Evaluating The Performance of Machine Learning on Different Devices
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : IoT-enheter blir allt populärare i takt med att de blir kraftfullare och skalbara. Därför var det viktigt att undersöka prestandan hos IoT-enheter när det kommer till maskininlärning. READ MORE
-
8. Mapping quantized convolutional layers on the SiLago platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Convolutional neural networks (CNNs) have been utilized in various applications, such as image classification, computer vision, etc. With development, the complexity and computation of CNNs also increase, which requires more memory and resources when deployed on devices, especially embedded systems. READ MORE
-
9. Deep Multiple Description Coding for Semantic Communication : Theory and Practice
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the era of wirelessly connected Internet of Things (IoT) devices on the horizon, eective data processing algorithms for IoT devices are of increasing importance. IoT devices often have limited power and computational resources, making data processing on the device unfeasible. READ MORE
-
10. Comparing decentralized learning to Federated Learning when training Deep Neural Networks under churn
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Decentralized Machine Learning could address some problematic facets with Federated Learning. There is no central server acting as an arbiter of whom or what may benefit from Machine Learning models created by the vast amount of data becoming available in recent years. READ MORE