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Deep learning summary

Here is a summary of what we have looked at in Week 5.

In this week we have covered:

  • what is deep learning?
  • how is it different from other machine learning?
  • an introduction to:
    • perceptrons
    • artificial neural networks
    • convolutional neural networks
  • an introduction to IPython notebooks and Colab
  • pros and cons of deep learning approaches.

The aim of this week is to give a flavour of what deep learning is, and how it differs from the machine learning techniques we have seen prior to this week in the course. For a more detailed and practical look at deep learning methods we would recommmed the following upcoming courses from DataCampp:

  • Deep Learning Internals
  • Experimental Design for Machine Learning.

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