Sökning: "Neural conversion"

Visar resultat 6 - 10 av 16 uppsatser innehållade orden Neural conversion.

  1. 6. Investigating the Attribution Quality of LSTM with Attention and SHAP : Going Beyond Predictive Performance

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Hannes Kindbom; [2021]
    Nyckelord :Digital marketing; Attribution modelling; Multi-touch attribution; Deep learning; LSTM; SHAP; Attention; Interpretability; Digital marknadsföring; Attributionsmodellering; Multi-touch attribution; Djupinlärning; LSTM; SHAP; Attention; Tolkningsbarhet;

    Sammanfattning : Estimating each marketing channel’s impact on conversion can help advertisers develop strategies and spend their marketing budgets optimally. This problem is often referred to as attribution modelling, and it is gaining increasing attention in both the industry and academia as access to online tracking data improves. LÄS MER

  3. 7. Deep Learning on a Microcontroller Unit in a Hand-Prosthesis Control Context

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Hannes Nilsson; [2021]
    Nyckelord :electromyography; deep learning; microcontroller; hand-prosthesis control; artificial neural network; Technology and Engineering;

    Sammanfattning : This master's thesis investigates in what capacity a typical hand-prosthesis classification ANN (Artificial Neural Network) can be deployed on a microcontroller unit. A working, implemented interface is presented along with extra scripts, applications and functions for easy training and testing. LÄS MER

  4. 8. Choosing Only the Best Voice Imitators : Top-K Many-to-Many Voice Conversion with StarGAN-VC

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Claudio Fernandez Martin; [2021]
    Nyckelord :;

    Sammanfattning : Voice conversion systems are becoming more relevant as the popularity of voice technologies is growing with the increased adoption of voice assistants and the increased demand for speech-based interfaces in recent years. This scenario would not have been possible without the latest developments in the generative deep learning field, where novel neural networks architectures such as generative adversarial networks (GANs) are providing researchers with previously unimaginable possibilities in the creation of synthetic media. LÄS MER

  5. 9. Music generation using tracker music and machine learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Björn Lindqvist; [2021]
    Nyckelord :;

    Sammanfattning : We investigate the modelling of polyphonic “tracker music” using deep neural networks. Tracker music is a music storage format invented in the late 1980s for use on that time’s home computers and is often used for storing synthesized electronic music. LÄS MER

  7. 10. Monitored Neural Networks for Autonomous Articulated Machines

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Erik Beckman; Linus Harenius; [2020]
    Nyckelord :Slip; ANN; Neural Networks; Hauler; Monitored Neural Networks; Verification Neural Networks; Curvature Steering; Autonomous machines; Articulated Machines; Volvo CE; side-slip; slip error; Reliable Neural Networks; Dependable Neural Networks;

    Sammanfattning : Being able to safely control autonomous heavy machinery is of uttermost importance for the conversion of traditional machines to autonomous machines. With the continuous growth of autonomous vehicles around the globe, an increasing effort has been put into certifying autonomous vehicles in terms of reliability and safety. LÄS MER