Logo ONT
Dystrybutor oprogramowania MATLAB i Simulink w Polsce
Logo Mathworks
MATLAB 2018

17 kwietnia, Warszawa

Konferencja na temat wykorzystania możliwości narzędzi MATLAB i Simulink w badaniach naukowych i przemyśle.

Agenda konferencji

Godzina
Prezentacje w sesji plenarnej
Sala SCHERZO
    13.45 - 14.30
  • Classical machine learning

    Emelie Andersson

    Application Engineer
    MathWorks

    In this session, we will look at classical machine learning approaches to classification and regression problems. We will discuss how multiple CPUs speeds up the training process at the push of a button, and how intuitive apps can help you in choosing the appropriate model.

  • 14.30 - 15.15
  • Deep learning techniques – part 1

    Emelie Andersson

    Application Engineer
    MathWorks

    This session will cover deep learning techniques to help solve problems such as object detection, object recognition, and classification. We will look at how to set up and train a Convolutional Neural Network (CNN), as well as modifying an existing CNN to fit a new purpose (transfer learning). We will also learn how the MATLAB code can be automatically converted to CUDA code, and then deployed on to GPUs.

  • 15.15 - 15.45
    Przerwa kawowa
    15.45 - 16.30
  • Deep learning techniques – part 2

    Emelie Andersson

    Application Engineer
    MathWorks

    This session will cover deep learning techniques to help solve problems such as object detection, object recognition, and classification. We will look at how to set up and train a Convolutional Neural Network (CNN), as well as modifying an existing CNN to fit a new purpose (transfer learning). We will also learn how the MATLAB code can be automatically converted to CUDA code, and then deployed on to GPUs.