LENGTH:                       2 Days
COST:                             $900 + GST
TIME:                              8:00 AM - 4:00 PM AWST (UTC+8)
PRESENTER:                Dr Ammar Mahmood


Please note this is a live online event run by an NGIS trainer. 

 

 


GEE3-2



 

 
 

course information

 

The Earth Engine Machine Learning course will focus on the advanced Machine Learning capabilities. Best practices for Machine Learning for Earth Observations will be presented along with the ML features of Earth Engine and the broader Google Cloud Platform. 

Earth Engine Fundamentals or equivalent skills

  • ML in Earth Engine overview
  • ML best practices
  • Training data
  • Validating data
  • Supervised classification
  • Unsupervised classification
  • Tensorflow API
  • Exporting Tensorflow records
  • Neural segmentation
  • Designing deep neural network models
  • Designing full convolution neural network models
  • Image classification through ML
 

 

UPCOMING COURSES

DATE

TIME

LOCATION

16.3.2021 - 17.3.2021

8:00 AM - 4:00 PM

Online

 

Submit this form to start the booking process:

Perth office
1a/53 Burswood Road,
Burswood WA 6100,
Australia
Sydney office
Level 24, Three International Towers,
300 Barangaroo Ave,
Sydney NSW 2000,
Australia