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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.