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MathWorks x CUES: A practical introduction to Deep Learning with MATLAB

February 19 @ 16:00 - 17:00


In this fourth and final session of the MathWorks @CUES webinar series, Francesco will demonstrate practical workflows for deep learning in MATLAB.


  • Learn the fundamentals of Deep Learning and understand terms like “layers”, “networks”, and “loss”
  • Access and explore various pretrained models
  • Use transfer learning to build a network for image classification
  • Build a deep network from scratch for image classification
  • Learn how to evaluate the network and improve its accuracy

Who Should Attend

Undergraduate and postgraduate students with an interest in computational problem-solving for engineering, scientific or mathematical applications.


February 19
16:00 - 17:00
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