Essays about: "FeedForward Network"

Showing result 1 - 5 of 39 essays containing the words FeedForward Network.

  1. 1. Deep learning, LSTM and Representation Learning in Empirical Asset Pricing

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

    Author : Benjamin von Essen; [2022]
    Keywords : LSTM; empirical asset pricing; deep learning; representation learning; neural networks; LSTM; empirisk tillgångsvärdering; djupinlärning; representationsinlärning; neurala nätverk;

    Abstract : In recent years, machine learning models have gained traction in the field of empirical asset pricing for their risk premium prediction performance. In this thesis, we build upon the work of [1] by first evaluating models similar to their best performing model in a similar fashion, by using the same dataset and measures, and then expanding upon that. READ MORE

  2. 2. 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

  3. 3. 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

  4. 4. Day-ahead Grid Loss Forecasting : A study of linear and non-linear models when modelling electrical grid losses

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Alicia Söderlind; [2022]
    Keywords : Electrical grid losses; Mathematical modelling; ARIMAX; SARIMAX; Neural Networks;

    Abstract : Accurate day-ahead grid loss forecasts are, among other things, essential to determine the electricity price for the upcoming day. The more accurate forecast, the closer the trading on the 'day-ahead' electricity market can become the actual operation the next day, which dedcrease the need for correcting production on the balancing market. READ MORE

  5. 5. Scenario Generation For Vehicles Using Deep Learning

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

    Author : Jay Patel; [2022]
    Keywords : Scenario generation; Mixture Density Network; Gaussian Mixture Model; Autonomous driving; Semantic Graph Network; Scenariogenerering; Mixture Density Network; Gaussian Mixture Model; Autonom körning; Semantic Graph Network;

    Abstract : In autonomous driving, scenario generation can play a critical role when it comes to the verification of the autonomous driving software. Since uncertainty is a major component in driving, there cannot be just one right answer to a prediction for the trajectory or the behaviour, and it becomes important to account for and model that uncertainty. READ MORE