Essays about: "Seq2seq model"
Showing result 1 - 5 of 8 essays containing the words 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
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
2. An Initial Investigation of Neural Decompilation for WebAssembly
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
3. Sequential Anomaly Detection for Log Data Using Deep Learning
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : 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. READ MORE
-
4. Deep learning prediction of Quantmap clusters
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : 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. READ MORE
-
5. Using Attention-based Sequence-to-Sequence Neural Networks for Transcription of Historical Cipher Documents
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : 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. READ MORE