Essays about: "sequence to sequence learning"
Showing result 11 - 15 of 184 essays containing the words sequence to sequence learning.
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11. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. READ MORE
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12. Text simplification in Swedish using transformer-based neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Textförenkling innebär modifiering av text så att den blir lättare att läsa genom ersättning av komplexa ord, ändringar av satsstruktur och/eller borttagning av onödig information. Forskning existerar kring textförenkling på svenska, men användandet av neurala nätverk inom området är begränsat. READ MORE
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13. Monolingual and Cross-Lingual Survey Response Annotation
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Multilingual natural language processing (NLP) is increasingly recognized for its potential in processing diverse text-type data, including those from social media, reviews, and technical reports. Multilingual language models like mBERT and XLM-RoBERTa (XLM-R) play a pivotal role in multilingual NLP. READ MORE
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14. Predicting Protein Stability with Machine Learning
University essay from Lunds universitet/Biofysikalisk kemiAbstract : Protein stability is a property of high importance and is of interest in a variety of fields. It determines if a protein has its native fold and can be of influence in certain diseases such as Parkinson's and Alzheimer's disease. READ MORE
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15. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. READ MORE