Essays about: "FeedForward Network"

Showing result 1 - 5 of 35 essays containing the words FeedForward Network.

  1. 1. Zero-shot cross-lingual transfer learning for sentiment analysis on Swedish chat conversations

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Siri Ann Göhl; [2022]
    Keywords : ;

    Abstract : As the field of machine learning grows, so do the publicly available datasets. However, in the field of natural language processing, datasets within specific languages and tasks can be scarce. READ MORE

  2. 2. Investigating Machine Learning for verification of AMBA APB protocol.

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Abhiram Srisai Kishore; Mohammed Wasim; [2022]
    Keywords : Machine learning; SOC Verification; AMBA; Neural Networks; Deep Learning; Assertions.; Technology and Engineering;

    Abstract : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. READ MORE

  3. 3. Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Spyridon Dimitriadis; [2021]
    Keywords : multi-task regression; QSAR; QSPR; deep learning; attention based models; transfer learning;

    Abstract : With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. READ MORE

  4. 4. Transformer learning for traffic prediction in mobile networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Wass; [2021]
    Keywords : Transformer; Attention; LSTM; Mobile traffic prediction.; Transformer; Attention; LSTM; Prediktering av mobil nätverkstrafik.;

    Abstract : The resources of mobile networks are expensive and limited, and as demand for mobile data continues to grow, improved resource utilisation is a prioritised issue. Traffic demand at base stations (BSs) vary throughout the day and week, but the capacity remains constant and utilisation could be significantly improved based on precise, robust, and efficient forecasting. READ MORE

  5. 5. Artificial Value-at-Risk : Using Neural Networks to Replicate Filtered Historical Simulation for Value-at-Risk Calculations

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Markus Norberg; Johanna Petersson; [2021]
    Keywords : ;

    Abstract : Since financial markets are considered risky, there is a need to have credible tools that can estimate these risks. For a Central Clearing Counterparty it is of utmost importance to conduct accurate estimations of its members’ risk exposures to deter-mine their margin requirements. READ MORE