Sökning: "Seq2seq model"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden Seq2seq model.
1. Fine-Tuning Pre-Trained Language Models for CEFR-Level and Keyword Conditioned Text Generation : A comparison between Google’s T5 and OpenAI’s GPT-2
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis investigates the possibilities of conditionally generating English sentences based on keywords-framing content and different difficulty levels of vocabulary. It aims to contribute to the field of Conditional Text Generation (CTG), a type of Natural Language Generation (NLG), where the process of creating text is based on a set of conditions. LÄS MER
2. An Initial Investigation of Neural Decompilation for WebAssembly
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : WebAssembly is a new standard of the World Wide Web that is used as a compilation target and which is meant to enable high-performance applications. As it becomes more popular, the need for corresponding decompilers increases, for security reasons for instance. LÄS MER
3. Sequential Anomaly Detection for Log Data Using Deep Learning
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an organization. LÄS MER
4. Deep learning prediction of Quantmap clusters
Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningSammanfattning : The hypothesis that similar chemicals exert similar biological activities has been widely adopted in the field of drug discovery and development. Quantitative Structure-Activity Relationship (QSAR) models have been used ubiquitously in drug discovery to understand the function of chemicals in biological systems. LÄS MER
5. Using Attention-based Sequence-to-Sequence Neural Networks for Transcription of Historical Cipher Documents
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Encrypted historical manuscripts (also called ciphers), containing encoded information, provides a useful resource for giving new insight into our history. Transcribing these manuscripts from image format to computer readable format is a necessary step for decrypting them. LÄS MER