Deep Machine Learning

Programme course instance, 6 Credits

  • Period : 2029-March-26 until 2029-June-03
  • Location: Campus Karlskrona
  • Type of instruction: Campus, day-time, fourty percent 40%
  • Main field of study: Computer science
  • Language of instruction: English
  • Education level: A1N
  • Application code: BQPDR
  • Course code: DV2646
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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.

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Course manager:

Bo Peterson

bo.peterson@bth.se

Study counselling:

studievagledning@bth.se

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