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.
Reach your personal and professional goals
Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.
Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.
