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Deep learning summary
todo
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.
