This meeting will allow you to learn about the basics of using machine learning and get hands on experience through the use of git repository of introductory machine learning examples. The repository is found on github at https://github.com/adrianbevan/TensorFlow-Tutorial.
We will be using the V2.0 tag of this repository that is the release used for this GRADnet ML 2021 meeting.
We will be using binder to work with the code examples. This will ensure that you don't have to set up the code environment to get started with machine learning. Click on the following link to launch the binder page for this tutorial:
If you would like to learn more about the machine learning methods in this tutorial, then please see my RAL PPD lecture notes for more information (QMUL mirror).
Paper
Slides
1
Linear Regression
13:50
Break
2
Neural Networks
14:50
Break
3
Convolutional Neural Networks
15:50
Break
4
Wrap Up
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