CRASHCOURSE by SASA Data Science

Image Classification using CNNs in Python

This CRASHCOURSE will provide a step-by-step instruction on how to perform image classification tasks using Convolutional Neural Networks (CNNs) in Python using the tensorflow and keras packages.


It will focus on the implementation of the techniques only, so as to equip the attendees with the basics tools necessary to perform such tasks. Some of the content with be

  • the basics of using pre-specified CNN architectures for image classification (including transfer learning)
  • setting up a simple custom CNN
  • fitting and testing CNNs on a new dataset.


Intermediate programming skills are recommended in order to keep up with the CRASHCOURSE - with experience in Python a plus.

Speakers

  • Warren Brettenny (HOD at Nelson Mandela University)

    Warren Brettenny

    HOD at Nelson Mandela University

    Dr Warren Brettenny is currently the Head of the Department of Statistics at Nelson Mandela University and has worked in the South African higher education sector for more than 10 years. Warren is also the current President of the South African Statistical Association and focuses on Statistical Data Analysis, Statistical Modelling, Lecturing, and Data Science. Warren received his PhD in Mathematical Statistics from Nelson Mandela Metropolitan University.

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Registration

Registration is FREE for all SASA members

CRASHCOURSE: Image Classification using CNNs in Python
Member Price Complimentary
Standard Price R 250