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Deep learning – A primer (online)

In this one hour session, we will explore some fundamentals of Deep Learning and how it relates to other Machine Learning models. We will showcase the basics of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) and use a Python TensorFlow tutorial on how to build a simple CNN classification.

About this course

This course is the first stand-alone AI & Machine Learning module tailored for online learning.

We are adapting our popular classroom-based AI & ML Masterclass and Decoding Deep Learning courses for remote study using small-group virtual classrooms – jump in here for an introduction to the topic, or a primer for future classes which will be launched!

Course structure

  • What is Deep Learning?
  • Deep Learning and other Machine Learning models
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Python TensorFlow tutorial: a CNN classification


Learning outcomes

  • Explain some key concepts of Deep Learning to a friend, colleague or peer
  • State some examples of problems where Convolutional Neural Networks or Recurrent Neural Networks may be an appropriate solution
  • Identify priorities for future study and exploration in the field of AI, Machine Learning and Deep Learning

Who is this course for?

This primer is suitable for anyone from a technical or non-technical background who is interested in understanding some of the key terms and concepts behind the buzzwords ‘Deep Learning’, and in developing an understanding of what this technology can do for your career, organization or research.

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