GRADnet Machine learning and AI workshop (2021)

Wednesday 20 Jan 2021, 13:00 → 17:00 GB

Universe

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:

• https://mybinder.org/v2/gh/adrianbevan/TensorFlow-Tutorial/V2.0
  

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 GRADnet_Guidelines_for_Online_Events_2020.pdf

Slides TensorFlowTutorial.pdf

13:00 → 13:50 Linear Regression

13:50 → 14:00 Break

14:00 → 14:50 Neural Networks

14:50 → 15:00 Break

15:00 → 15:50 Convolutional Neural Networks

15:50 → 16:00 Break

16:00 → 16:50 Wrap Up

During the final break please take a moment to fill out our feedback form: Feedback Form Your feedback on events is incredibly valuable and will help us make improvements for the future.