Essays about: "transformer networks"
Showing result 1 - 5 of 69 essays containing the words transformer networks.
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1. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data
University essay from Uppsala universitet/Statistiska institutionenAbstract : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. READ MORE
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2. Inductive fast charging of IoT devices : An in-depth analysis of short-range wireless charging technologies based on induction
University essay from Umeå universitet/Institutionen för fysikAbstract : In the era of Internet of things (IoT), sensor-equipped devices exchange data over networks. In battery powered IoT devices, the lifespan of the devices is often much longer than the battery life, leading to multiple costly and environmentally hazardous battery replacements during the operational life of the devices. READ MORE
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3. Few-Shot Learning for Quality Inspection
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE
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4. Transformer Offline Reinforcement Learning for Downlink Link Adaptation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). READ MORE
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5. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE