Essays about: "djup inlärning"
Showing result 11 - 15 of 49 essays containing the words djup inlärning.
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11. Unstructured pruning of pre-trained language models tuned for sentiment classification.
University essay from KTH/Matematisk statistikAbstract : Transformer-based models are frequently used in natural language processing. These models are oftenlarge and pre-trained for general language understanding and then fine-tuned for a specific task. Becausethese models are large, they have a high memory requirement and have high inference time. READ MORE
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12. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. READ MORE
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13. Medical image captioning based on Deep Architectures
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Diagnostic Captioning is described as “the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination” [59] and it can assist inexperienced doctors and radiologists to reduce clinical errors or help experienced professionals increase their productivity. In this context, tools that would help medical doctors produce higher quality reports in less time could be of high interest for medical imaging departments, as well as significantly impact deep learning research within the biomedical domain, which makes it particularly interesting for people involved in industry and researchers all along. READ MORE
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14. Option Modelling by Deep Learning
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : In this thesis we aim to provide a fully data driven approach for modelling financial derivatives, exclusively using deep learning. In order for a derivatives model to be plausible, it should adhere to the principle of no-arbitrage which has profound consequences on both pricing and risk management. READ MORE
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15. Stratego Using Deep Reinforcement Learning and Search
University essay from KTH/Matematisk statistikAbstract : Algorithmic game theory is a research area concerned with developing algorithms for solving games using game-theoretic concepts, with many applications in areas where games are used as models to achieve knowledge. In the last decades, numerous game-playing bots have been created, and in many games, they outperform top humans. READ MORE
