Deep Machine Learning

Programme course instance, 6 Credits

  • Period : 2028-March-27 until 2028-June-04
  • Location: Campus Karlskrona
  • Type of instruction: Campus, day-time, forty percent 40%
  • Main field of study: Computer science
  • Language of instruction:
  • Education level: A1N
  • Application code: BAEG4
  • Course code: DV2646
Show more

This course is part of a programme and cannot be applied.

Show more

Deep Machine Learning, 6 Credits

Deep machine learning methods are widely used in a variety of applications in various fields such as speech understanding, computer vision, natural language processing, robotics, etc. The aim of the course is to introduce students to deep machine learning, which includes understanding how Convolutional Neural Networks (CNN), Deep Recurrent and Recursive Networks, Autoencoders, Generative Adversarial Networks (GAN), Long Short-Term Memory (LSTM), VGG, Resnet and DensNet are designed and work.

Good to know

Questions?

Course manager:

Bo Peterson

bo.peterson@bth.se

Study counselling:

studievagledning@bth.se

Study options

Show only

Period

Location

Cycle

Rate of study

Similar education